Get elements

The get_elements method (same name as the API endpoint) returns the parsed elements of a source. Each item is a BuildStatusElement with element_id, element_type, text, markdown, html, optional img_base64, position, page_number, bounding_box, page_layout, and more. Use file_id (from list or get build status).

Method overview

Python
TypeScript

client.sources.get_elements()

await client.sources.getElements()

Method signature

Python
TypeScript

client.sources.get_elements(
    file_id: str,                          # Required
    page: int | None = None,
    page_size: int | None = None,
    suppress_img_base64: bool = False,
    type: str | None = None,              # Filter by element type
    page_numbers: list[int] | None = None,
    elements_to_remove: list[str] | None = None,
    timeout: float | None = None
) -> SourceGetElementsResponse

await client.sources.getElements({
  file_id: string,                         // Required
  page?: number | null,
  page_size?: number | null,
  suppress_img_base64?: boolean,
  type?: string | null,
  page_numbers?: number[] | null,
  elementsToRemove?: string[] | null,
}): Promise<SourceGetElementsResponse>

Parameters

Python
TypeScript

Parameter	Type	Description	Required
`file_id`	`str`	Unique identifier of the source	Yes
`page`	`int \| None`	1-based page number (use with `page_size`)	No
`page_size`	`int \| None`	Elements per page (1–100)	No
`suppress_img_base64`	`bool`	When true, omit `img_base64` from each element	No
`type`	`str \| None`	Filter by element type (e.g. `Title`, `NarrativeText`, `Table`)	No
`page_numbers`	`list[int] \| None`	Restrict to specific page numbers	No
`elements_to_remove`	`list[str] \| None`	Element types to exclude	No
`timeout`	`float`	Request timeout in seconds	No

Parameter	Type	Description	Required
`file_id`	`string`	Unique identifier of the source	Yes
`page`	`number \| null`	1-based page number	No
`page_size`	`number \| null`	Elements per page (1–100)	No
`suppress_img_base64`	`boolean`	When true, omit `img_base64`	No
`type`	`string \| null`	Filter by element type (e.g. `Title`, `NarrativeText`)	No
`page_numbers`	`number[] \| null`	Restrict to specific page numbers	No
`elementsToRemove`	`string[] \| null`	Element types to exclude	No

Filter parameters

All filter parameters are passed at the top level (not as a nested object).

Parameter	Python	TypeScript	Description
Element type filter	`type`	`type`	Filter by element type (e.g. `Title`, `NarrativeText`, `Table`)
Page number filter	`page_numbers`	`page_numbers`	Restrict to specific page numbers
Exclude types	`elements_to_remove`	`elementsToRemove`	Element types to exclude

Response

Paginated response with BuildStatusElement items (same shape as elements in Get build status):

Field	Type	Description
`items`	`list`	Elements in the current page (or all if no pagination)
`total`	`int`	Total elements matching filters
`page`	`int \| null`	Current page (1-based) or null
`page_size`	`int \| null`	Elements per page or null
`total_pages`	`int \| null`	Total pages or null

BuildStatusElement (each item)

Field	Type	Description
`element_id`	`str \| null`	Unique identifier for the element
`element_type`	`str \| null`	e.g. `Title`, `NarrativeText`, `Table`, `Image`
`text`	`str`	Plain text content
`markdown`	`str \| null`	Markdown when available
`html`	`str \| null`	HTML when available
`img_base64`	`str \| null`	Base64 image (omitted if `suppress_img_base64=true`)
`position`	`int \| null`	Order within the document
`page_number`	`int \| null`	Page number (1-based)
`bounding_box`	`object \| null`	Bounding box (left, top, width, height)
`page_layout`	`object \| null`	Page dimensions
`page_annotation`	`str \| null`	Page-level annotation
`page_keywords`	`array \| null`	Keywords for the page
`page_topics`	`array \| null`	Topics for the page
`metadata`	`object`	Additional metadata

Element Types

Type	Description
`Title`	Document and section titles
`NarrativeText`	Main body paragraphs and content
`ListItem`	Items in bullet points or numbered lists
`Table`	Complete data tables
`TableRow`	Individual rows within tables
`Image`	Picture or graphic elements
`Header`	Header content at top of pages
`Footer`	Footer content at bottom of pages
`Formula`	Mathematical formulas and equations
`CompositeElement`	Elements containing multiple types
`FigureCaption`	Text describing images or figures
`PageBreak`	Indicators of page separation
`Address`	Physical address information
`EmailAddress`	Email contact information
`PageNumber`	Page numbering elements
`CodeSnippet`	Programming code segments
`FormKeysValues`	Key-value pairs in forms
`Link`	Hyperlinks and references
`UncategorizedText`	Text that doesn’t fit other categories

Code Examples

Basic usage

Python
TypeScript

from graphor import Graphor

client = Graphor()
file_id = "file_abc123"  # from list() or get_build_status

response = client.sources.get_elements(file_id=file_id, page=1, page_size=20)

print(f"Found {response.total} elements (page {response.page}/{response.total_pages})")

for item in response.items:
    print(f"{item.element_type}: {item.text[:50]}...")

const client = new Graphor();
const fileId = 'file_abc123';

const response = await client.sources.getElements({
  file_id: fileId,
  page: 1,
  page_size: 20,
});

console.log(`Found ${response.total} elements (page ${response.page}/${response.total_pages})`);

for (const item of response.items) {
  console.log(`${item.element_type}: ${item.text.slice(0, 50)}...`);
}

Filter by element type

Python
TypeScript

response = client.sources.get_elements(
    file_id=file_id,
    page_size=50,
    type="Title"
)
for item in response.items:
    print(f"Page {item.page_number}: {item.text}")

const response = await client.sources.getElements({
  file_id: fileId,
  page_size: 50,
  type: 'Title',
});
for (const item of response.items) {
  console.log(`Page ${item.page_number}: ${item.text}`);
}

Filter by page numbers

Python
TypeScript

response = client.sources.get_elements(
    file_id=file_id,
    page_size=100,
    page_numbers=[1, 2, 3]
)
for item in response.items:
    print(f"Page {item.page_number}: {item.text[:80]}...")

const response = await client.sources.getElements({
  file_id: fileId,
  page_size: 100,
  page_numbers: [1, 2, 3],
});
for (const item of response.items) {
  console.log(`Page ${item.page_number}: ${item.text.slice(0, 80)}...`);
}

Exclude element types

Python
TypeScript

response = client.sources.get_elements(
    file_id=file_id,
    page_size=50,
    elements_to_remove=["Footer", "PageNumber"]
)

const response = await client.sources.getElements({
  file_id: fileId,
  page_size: 50,
  elementsToRemove: ['Footer', 'PageNumber'],
});

Combine filters

Python
TypeScript

response = client.sources.get_elements(
    file_id=file_id,
    page_size=50,
    type="Table",
    page_numbers=[2, 3, 4, 5]
)
for item in response.items:
    print(f"Table on page {item.page_number}: {item.text[:100]}...")

const response = await client.sources.getElements({
  file_id: fileId,
  page_size: 50,
  type: 'Table',
  page_numbers: [2, 3, 4, 5],
});
for (const item of response.items) {
  console.log(`Table on page ${item.page_number}: ${item.text.slice(0, 100)}...`);
}

Async usage

Python
TypeScript

import asyncio
from graphor import AsyncGraphor

async def get_document_elements(file_id: str):
    client = AsyncGraphor()
    response = await client.sources.get_elements(file_id=file_id, page=1, page_size=50)
    print(f"Found {response.total} elements")
    for item in response.items:
        print(f"{item.element_type}: {item.text[:50]}...")
    return response

asyncio.run(get_document_elements("file_abc123"))

async function getDocumentElements(fileId: string) {
  const response = await client.sources.getElements({
    file_id: fileId,
    page: 1,
    page_size: 50,
  });
  for (const item of response.items) {
    console.log(`${item.element_type}: ${item.text.slice(0, 50)}...`);
  }
  return response;
}
await getDocumentElements('file_abc123');

Paginate through all elements

Python
TypeScript

def get_all_elements(file_id: str, page_size: int = 50):
    all_elements = []
    page = 1
    while True:
        response = client.sources.get_elements(file_id=file_id, page=page, page_size=page_size)
        all_elements.extend(response.items)
        if response.total_pages is None or page >= response.total_pages:
            break
        page += 1
    return all_elements

elements = get_all_elements("file_abc123")

async function getAllElements(fileId: string, page_size = 50) {
  const all: typeof response.items = [];
  let page = 1;
  while (true) {
    const response = await client.sources.getElements({ file_id: fileId, page, page_size });
    all.push(...response.items);
    if (response.total_pages == null || page >= response.total_pages) break;
    page++;
  }
  return all;
}
const elements = await getAllElements('file_abc123');

Error handling

Python
TypeScript

try:
    response = client.sources.get_elements(file_id=file_id, page=1, page_size=20)
    print(f"Found {response.total} elements")
except graphor.NotFoundError as e:
    print("Source not found:", e)
except graphor.BadRequestError as e:
    print("Invalid request (e.g. missing file_id):", e)
except graphor.APIStatusError as e:
    print("API error:", e)

try {
  const response = await client.sources.getElements({ file_id: fileId, page: 1, page_size: 20 });
  console.log('Found', response.total, 'elements');
} catch (err) {
  if (err instanceof Graphor.NotFoundError) {
    console.log('Source not found:', err.message);
  } else if (err instanceof Graphor.APIError) {
    console.log('API error:', err.message);
  } else {
    throw err;
  }
}

Advanced Examples

Document Structure Analyzer

Analyze the structure of a document:

Python
TypeScript

from graphor import Graphor
from collections import defaultdict

client = Graphor()

def analyze_document_structure(file_id: str):
    """Analyze document structure and element distribution."""
    all_elements = []
    page = 1
    
    # Fetch all elements
    while True:
        response = client.sources.get_elements(
            file_id=file_id,
            page=page,
            page_size=100
        )
        all_elements.extend(response.items)
        
        if page >= response.total_pages:
            break
        page += 1
    
    # Analyze structure
    type_counts = defaultdict(int)
    page_distribution = defaultdict(int)
    total_chars = 0
    languages = set()
    
    for item in all_elements:
        element_type = item.element_type or "Unknown"
        type_counts[element_type] += 1
        
        page_num = item.page_number or 0
        page_distribution[page_num] += 1
        
        total_chars += len(item.text)
        
        for lang in (item.metadata or {}).get("languages", []):
            languages.add(lang)
    
    return {
        "total_elements": len(all_elements),
        "element_types": dict(type_counts),
        "pages": len(page_distribution),
        "elements_per_page": dict(page_distribution),
        "total_characters": total_chars,
        "average_element_length": total_chars / len(all_elements) if all_elements else 0,
        "detected_languages": list(languages)
    }

# Usage
analysis = analyze_document_structure("file_abc123")
print(f"Document Analysis:")
print(f"  Total elements: {analysis['total_elements']}")
print(f"  Pages: {analysis['pages']}")
print(f"  Element types: {analysis['element_types']}")
print(f"  Languages: {analysis['detected_languages']}")

import Graphor from 'graphor';

const client = new Graphor();

async function analyzeDocumentStructure(fileName: string) {
  type ElementItem = Awaited<
    ReturnType<typeof client.sources.getElements>
  >['items'][number];
  const allElements: ElementItem[] = [];
  let page = 1;

  // Fetch all elements
  while (true) {
    const response = await client.sources.getElements({
      file_id: fileId,
      page,
      page_size: 100,
    });
    allElements.push(...response.items);

    if (page >= (response.total_pages ?? 1)) break;
    page++;
  }

  // Analyze structure
  const typeCounts: Record<string, number> = {};
  const pageDistribution: Record<number, number> = {};
  let totalChars = 0;
  const languages = new Set<string>();

  for (const item of allElements) {
    const elementType = item.element_type ?? 'Unknown';
    typeCounts[elementType] = (typeCounts[elementType] ?? 0) + 1;

    const pageNum = item.page_number ?? 0;
    pageDistribution[pageNum] = (pageDistribution[pageNum] ?? 0) + 1;

    totalChars += item.text.length;

    for (const lang of (item.metadata?.languages as string[]) ?? []) {
      languages.add(lang);
    }
  }

  return {
    totalElements: allElements.length,
    elementTypes: typeCounts,
    pages: Object.keys(pageDistribution).length,
    elementsPerPage: pageDistribution,
    totalCharacters: totalChars,
    averageElementLength: allElements.length > 0 ? totalChars / allElements.length : 0,
    detectedLanguages: [...languages],
  };
}

// Usage
const analysis = await analyzeDocumentStructure('file_abc123');
console.log('Document Analysis:');
console.log(`  Total elements: ${analysis.totalElements}`);
console.log(`  Pages: ${analysis.pages}`);
console.log(`  Element types:`, analysis.elementTypes);
console.log(`  Languages:`, analysis.detectedLanguages);

Extract Tables

Extract all tables from a document:

Python
TypeScript

from graphor import Graphor

client = Graphor()

def extract_tables(file_id: str):
    """Extract all tables from a document."""
    tables = []
    page = 1
    
    while True:
        response = client.sources.get_elements(
            file_id=file_id,
            page=page,
            page_size=50,
            type="Table"
        )
        
        for item in response.items:
            tables.append({
                "content": item.text,
                "page": item.page_number,
                "position": item.position,
                "html": item.html,
                "bounding_box": item.bounding_box
            })
        
        if page >= response.total_pages:
            break
        page += 1
    
    return tables

# Usage
tables = extract_tables("file_abc123")
print(f"Found {len(tables)} tables")

for i, table in enumerate(tables, 1):
    print(f"\nTable {i} (Page {table['page']}):")
    print(f"  {table['content'][:200]}...")

import Graphor from 'graphor';

const client = new Graphor();

async function extractTables(fileId: string) {
  const tables: {
    content: string;
    page: number | undefined;
    position: number | undefined;
    html: string | undefined;
    boundingBox: unknown;
  }[] = [];
  let page = 1;

  while (true) {
    const response = await client.sources.getElements({
      file_id: fileId,
      page,
      page_size: 50,
      type: 'Table',
    });

    for (const item of response.items) {
      const metadata = item.metadata ?? {};
      tables.push({
        content: item.text,
        page: item.page_number ?? undefined,
        position: item.position ?? undefined,
        html: item.html ?? undefined,
        boundingBox: item.bounding_box,
      });
    }

    if (page >= (response.total_pages ?? 1)) break;
    page++;
  }

  return tables;
}

// Usage
const tables = await extractTables('file_abc123');
console.log(`Found ${tables.length} tables`);

tables.forEach((table, i) => {
  console.log(`\nTable ${i + 1} (Page ${table.page}):`);
  console.log(`  ${table.content.slice(0, 200)}...`);
});

Build Document Outline

Create a document outline from titles:

Python
TypeScript

from graphor import Graphor

client = Graphor()

def build_document_outline(file_id: str):
    """Build a document outline from titles."""
    response = client.sources.get_elements(
        file_id=file_id,
        page_size=500,
        type="Title"
    )
    
    outline = []
    
    for item in response.items:
        html = item.html or ""
        level = 5
        if "<h1>" in html: level = 1
        elif "<h2>" in html: level = 2
        elif "<h3>" in html: level = 3
        elif "<h4>" in html: level = 4
        outline.append({
            "title": item.text,
            "page": item.page_number,
            "level": level,
            "position": item.position
        })
    
    # Sort by position
    outline.sort(key=lambda x: (x["page"] or 0, x["position"] or 0))
    
    return outline

# Usage
outline = build_document_outline("file_abc123")
print("Document Outline:")
for item in outline:
    indent = "  " * (item["level"] - 1)
    print(f"{indent}• {item['title']} (Page {item['page']})")

import Graphor from 'graphor';

const client = new Graphor();

async function buildDocumentOutline(fileId: string) {
  const response = await client.sources.getElements({
    file_id: fileId,
    page_size: 500,
    type: 'Title',
  });

  const outline = response.items.map((item) => {
    const html = item.html ?? '';
    let level = 5;
    if (html.includes('<h1>')) level = 1;
    else if (html.includes('<h2>')) level = 2;
    else if (html.includes('<h3>')) level = 3;
    else if (html.includes('<h4>')) level = 4;
    return {
      title: item.text,
      page: item.page_number ?? undefined,
      level,
      position: item.position ?? undefined,
    };
  });

  // Sort by position
  outline.sort((a, b) => (a.page ?? 0) - (b.page ?? 0) || (a.position ?? 0) - (b.position ?? 0));

  return outline;
}

// Usage
const outline = await buildDocumentOutline('file_abc123');
console.log('Document Outline:');
for (const item of outline) {
  const indent = '  '.repeat(item.level - 1);
  console.log(`${indent}• ${item.title} (Page ${item.page})`);
}

Search Content in Elements

Search for specific content within document elements:

Python
TypeScript

from graphor import Graphor

client = Graphor()

def search_in_document(file_id: str, query: str):
    """Search for content within document elements."""
    matches = []
    page = 1
    
    while True:
        response = client.sources.get_elements(
            file_id=file_id,
            page=page,
            page_size=100,
            elements_to_remove=["Footer", "PageNumber"]
        )
        
        for item in response.items:
            if query.lower() in item.text.lower():
                matches.append({
                    "content": item.text,
                    "page": item.page_number,
                    "type": item.element_type,
                    "position": item.position
                })
        
        if page >= response.total_pages:
            break
        page += 1
    
    return matches

def highlight_match(text: str, query: str) -> str:
    """Highlight search query in text."""
    import re
    pattern = re.compile(f"({re.escape(query)})", re.IGNORECASE)
    return pattern.sub(r"**\1**", text)

# Usage
query = "machine learning"
matches = search_in_document("file_abc123", query)

print(f"Found {len(matches)} matches for '{query}':")
for i, match in enumerate(matches[:10], 1):
    print(f"\n{i}. Page {match['page']} ({match['type']}):")
    highlighted = highlight_match(match["content"][:200], query)
    print(f"   {highlighted}...")

import Graphor from 'graphor';

const client = new Graphor();

async function searchInDocument(fileId: string, query: string) {
  const matches: {
    content: string;
    page: number | undefined;
    type: string | undefined;
    position: number | undefined;
  }[] = [];
  let page = 1;

  while (true) {
    const response = await client.sources.getElements({
      file_id: fileId,
      page,
      page_size: 100,
      elementsToRemove: ['Footer', 'PageNumber'],
    });

    for (const item of response.items) {
      if (item.text.toLowerCase().includes(query.toLowerCase())) {
        matches.push({
          content: item.text,
          page: item.page_number ?? undefined,
          type: item.element_type ?? undefined,
          position: item.position ?? undefined,
        });
      }
    }

    if (page >= (response.total_pages ?? 1)) break;
    page++;
  }

  return matches;
}

function highlightMatch(text: string, query: string): string {
  const regex = new RegExp(`(${query.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')})`, 'gi');
  return text.replace(regex, '**$1**');
}

// Usage
const query = 'machine learning';
const matches = await searchInDocument('file_abc123', query);

console.log(`Found ${matches.length} matches for '${query}':`);
matches.slice(0, 10).forEach((match, i) => {
  console.log(`\n${i + 1}. Page ${match.page} (${match.type}):`);
  const highlighted = highlightMatch(match.content.slice(0, 200), query);
  console.log(`   ${highlighted}...`);
});

Async Batch Processing

Process multiple documents concurrently:

Python
TypeScript

import asyncio
from graphor import AsyncGraphor
import graphor

async def get_elements_async(client: AsyncGraphor, file_id: str):
    """Get all elements from a single document."""
    all_elements = []
    page = 1
    
    while True:
        try:
            response = await client.sources.get_elements(
                file_id=file_id,
                page=page,
                page_size=100
            )
            all_elements.extend(response.items)
            
            if page >= response.total_pages:
                break
            page += 1
            
        except graphor.APIStatusError as e:
            print(f"Error processing {file_id}: {e}")
            break
    
    return {"file_id": file_id, "elements": all_elements}

async def batch_get_elements(file_ids: list[str], max_concurrent: int = 3):
    """Get elements from multiple documents concurrently."""
    client = AsyncGraphor()
    semaphore = asyncio.Semaphore(max_concurrent)
    
    async def process_with_semaphore(fid: str):
        async with semaphore:
            print(f"Processing: {fid}")
            result = await get_elements_async(client, fid)
            print(f"  Completed: {fid} ({len(result['elements'])} elements)")
            return result
    
    tasks = [process_with_semaphore(f) for f in file_ids]
    results = await asyncio.gather(*tasks, return_exceptions=True)
    
    return [r for r in results if not isinstance(r, Exception)]

# Usage
file_ids = ["file_1", "file_2", "file_3"]
results = asyncio.run(batch_get_elements(file_ids))

for result in results:
    print(f"{result['file_id']}: {len(result['elements'])} elements")

import Graphor from 'graphor';

const client = new Graphor();

type ElementItem = Awaited<
  ReturnType<typeof client.sources.getElements>
>['items'][number];

async function getElementsForFile(fileId: string) {
  const allElements: ElementItem[] = [];
  let page = 1;

  while (true) {
    try {
      const response = await client.sources.getElements({
        file_id: fileId,
        page,
        page_size: 100,
      });
      allElements.push(...response.items);

      if (page >= (response.total_pages ?? 1)) break;
      page++;
    } catch (err) {
      const message = err instanceof Graphor.APIError ? err.message : String(err);
      console.log(`Error processing ${fileId}: ${message}`);
      break;
    }
  }

  return { fileId, elements: allElements };
}

async function batchGetElements(fileIds: string[], maxConcurrent = 3) {
  const results: Awaited<ReturnType<typeof getElementsForFile>>[] = [];

  for (let i = 0; i < fileIds.length; i += maxConcurrent) {
    const batch = fileIds.slice(i, i + maxConcurrent);
    console.log(`Processing batch ${Math.floor(i / maxConcurrent) + 1}...`);

    const batchResults = await Promise.all(
      batch.map(async (fid) => {
        console.log(`Processing: ${fid}`);
        const result = await getElementsForFile(fid);
        console.log(`  Completed: ${fid} (${result.elements.length} elements)`);
        return result;
      }),
    );

    results.push(...batchResults);
  }

  return results;
}

// Usage
const results = await batchGetElements(['file_1', 'file_2', 'file_3']);

for (const result of results) {
  console.log(`${result.fileId}: ${result.elements.length} elements`);
}

Document Comparator

Compare element structure between documents:

Python
TypeScript

from graphor import Graphor
from collections import defaultdict

client = Graphor()

def get_document_stats(file_id: str) -> dict:
    """Get statistics for a document."""
    type_counts = defaultdict(int)
    total_chars = 0
    page = 1
    
    while True:
        response = client.sources.get_elements(
            file_id=file_id,
            page=page,
            page_size=100
        )
        
        for item in response.items:
            type_counts[item.element_type or "Unknown"] += 1
            total_chars += len(item.text)
        
        if page >= response.total_pages:
            total_elements = response.total
            break
        page += 1
    
    return {
        "file_id": file_id,
        "total_elements": total_elements,
        "total_characters": total_chars,
        "element_types": dict(type_counts)
    }

def compare_documents(file_id_1: str, file_id_2: str):
    """Compare two documents."""
    stats1 = get_document_stats(file_id_1)
    stats2 = get_document_stats(file_id_2)
    
    all_types = set(stats1["element_types"].keys()) | set(stats2["element_types"].keys())
    
    comparison = {
        "documents": [stats1["file_id"], stats2["file_id"]],
        "total_elements": [stats1["total_elements"], stats2["total_elements"]],
        "total_characters": [stats1["total_characters"], stats2["total_characters"]],
        "element_comparison": {}
    }
    
    for element_type in sorted(all_types):
        count1 = stats1["element_types"].get(element_type, 0)
        count2 = stats2["element_types"].get(element_type, 0)
        comparison["element_comparison"][element_type] = [count1, count2]
    
    return comparison

# Usage
comparison = compare_documents("file_1", "file_2")
print(f"Comparing: {comparison['documents'][0]} vs {comparison['documents'][1]}")
print(f"Elements: {comparison['total_elements'][0]} vs {comparison['total_elements'][1]}")
print(f"Characters: {comparison['total_characters'][0]} vs {comparison['total_characters'][1]}")
print("\nElement breakdown:")
for elem_type, counts in comparison["element_comparison"].items():
    print(f"  {elem_type}: {counts[0]} vs {counts[1]}")

import Graphor from 'graphor';

const client = new Graphor();

async function getDocumentStats(fileId: string) {
  const typeCounts: Record<string, number> = {};
  let totalChars = 0;
  let totalElements = 0;
  let page = 1;

  while (true) {
    const response = await client.sources.getElements({
      file_id: fileId,
      page,
      page_size: 100,
    });

    for (const item of response.items) {
      const elementType = item.element_type ?? 'Unknown';
      typeCounts[elementType] = (typeCounts[elementType] ?? 0) + 1;
      totalChars += item.text.length;
    }

    if (page >= (response.total_pages ?? 1)) {
      totalElements = response.total;
      break;
    }
    page++;
  }

  return { fileId, totalElements, totalCharacters: totalChars, elementTypes: typeCounts };
}

async function compareDocuments(fileId1: string, fileId2: string) {
  const [stats1, stats2] = await Promise.all([
    getDocumentStats(fileId1),
    getDocumentStats(fileId2),
  ]);

  const allTypes = new Set([
    ...Object.keys(stats1.elementTypes),
    ...Object.keys(stats2.elementTypes),
  ]);

  const elementComparison: Record<string, [number, number]> = {};
  for (const type of [...allTypes].sort()) {
    elementComparison[type] = [
      stats1.elementTypes[type] ?? 0,
      stats2.elementTypes[type] ?? 0,
    ];
  }

  return {
    documents: [stats1.fileId, stats2.fileId],
    totalElements: [stats1.totalElements, stats2.totalElements],
    totalCharacters: [stats1.totalCharacters, stats2.totalCharacters],
    elementComparison,
  };
}

// Usage
const comparison = await compareDocuments('file_1', 'file_2');
console.log(`Comparing: ${comparison.documents[0]} vs ${comparison.documents[1]}`);
console.log(`Elements: ${comparison.totalElements[0]} vs ${comparison.totalElements[1]}`);
console.log(`Characters: ${comparison.totalCharacters[0]} vs ${comparison.totalCharacters[1]}`);
console.log('\nElement breakdown:');
for (const [elemType, counts] of Object.entries(comparison.elementComparison)) {
  console.log(`  ${elemType}: ${counts[0]} vs ${counts[1]}`);
}

Error Reference

Error Type	Status Code	Description
`BadRequestError`	400	Invalid request payload or parameters
`AuthenticationError`	401	Invalid or missing API key
`NotFoundError`	404	Source not found for the given file_id
`RateLimitError`	429	Too many requests, please retry after waiting
`InternalServerError`	≥500	Server-side error processing request
`APIConnectionError`	N/A	Network connectivity issues
`APITimeoutError`	N/A	Request timed out

Best Practices

Performance Optimization

Use appropriate page sizes: Start with 20-50 elements per page for optimal performance
Filter server-side: Use filter parameters to reduce data transfer
Cache results: Store element data locally for repeated access

Python
TypeScript

# Good: Filter on server
response = client.sources.get_elements(file_id=file_id, type="Title")

# Less efficient: Filter on client
response = client.sources.get_elements(file_id=file_id, page_size=500)
titles = [item for item in response.items if item.element_type == "Title"]

// Good: Filter on server
const response = await client.sources.getElements({ file_id: fileId, type: 'Title' });

// Less efficient: Filter on client
const all = await client.sources.getElements({ file_id: fileId, page_size: 500 });
const titles = all.items.filter((item) => item.element_type === 'Title');

Data Processing

Element type awareness: Different element types need different processing
Use HTML field: The text_as_html field preserves formatting
Handle None metadata: Always check if metadata exists before accessing

Python
TypeScript

for item in response.items:
    element_type = item.element_type or "Unknown"
    page_num = item.page_number or 0

for (const item of response.items) {
  const elementType = item.element_type ?? 'Unknown';
  const pageNum = item.page_number ?? 0;
}

Memory Management

Stream large documents: Process in chunks rather than loading all at once
Clear processed data: Remove unnecessary fields when not needed

Python
TypeScript

# Process large documents in chunks
page = 1
while True:
    response = client.sources.get_elements(
        file_id=file_id,
        page=page,
        page_size=50
    )
    
    # Process this batch
    for item in response.items:
        process_element(item)  # Your processing logic
    
    if page >= response.total_pages:
        break
    page += 1

// Process large documents in chunks
let page = 1;
while (true) {
  const response = await client.sources.getElements({
    file_id: fileId,
    page,
    page_size: 50,
  });

  // Process this batch
  for (const item of response.items) {
    processElement(item); // Your processing logic
  }

  if (page >= (response.total_pages ?? 1)) break;
  page++;
}

Troubleshooting

Slow response times

Causes: Large page sizes, complex filters, or server loadSolutions:

Reduce page_size to 25-50 elements
Use specific filters to reduce result set
Implement request timeouts

Python
TypeScript

client = Graphor(timeout=60.0)

const client = new Graphor({ timeout: 60 * 1000 });

Empty results

Causes: File not processed, incorrect file name, or overly restrictive filtersSolutions:

Verify source is processed (status Completed) with client.sources.list()
Use file_id from list or get build status
Remove or relax filter criteria

Missing expected elements

Causes: Processing method limitations, file format issues, or filter conflictsSolutions:

Try a different partition method using client.sources.reprocess()
Check if elements are categorized under different types
Remove elements_to_remove filter temporarily

Memory issues with large documents

Causes: Processing too many elements at onceSolutions:

Reduce page_size and process incrementally
Filter out unnecessary element types
Use streaming processing patterns

Next steps

After retrieving elements:

Get build status

Poll build status and get elements for a build

List sources

List all sources and their file_ids

Upload

Ingest files, URLs, GitHub, or YouTube

Reprocess source

Re-process a source with a different partition method

Delete source

Remove a source by file_id

Get Started

Data SDK Options

Method overview

Method signature

Parameters

Filter parameters

Response

BuildStatusElement (each item)

Element Types

Code Examples

Basic usage

Filter by element type

Filter by page numbers

Exclude element types

Combine filters

Async usage

Paginate through all elements

Error handling

Advanced Examples

Document Structure Analyzer

Extract Tables

Build Document Outline

Search Content in Elements

Async Batch Processing

Document Comparator

Error Reference

Best Practices

Performance Optimization

Data Processing

Memory Management

Troubleshooting

Next steps

Get build status

List sources

Upload

Reprocess source

Delete source

Get Started

Data SDK Options

​Method overview

​Method signature

​Parameters

​Filter parameters

​Response

​BuildStatusElement (each item)

​Element Types

​Code Examples

​Basic usage

​Filter by element type

​Filter by page numbers

​Exclude element types

​Combine filters

​Async usage

​Paginate through all elements

​Error handling

​Advanced Examples

​Document Structure Analyzer

​Extract Tables

​Build Document Outline

​Search Content in Elements

​Async Batch Processing

​Document Comparator

​Error Reference

​Best Practices

​Performance Optimization

​Data Processing

​Memory Management

​Troubleshooting

​Next steps

Get build status

List sources

Upload

Reprocess source

Delete source

Method overview

Method signature

Parameters

Filter parameters

Response

BuildStatusElement (each item)

Element Types

Code Examples

Basic usage

Filter by element type

Filter by page numbers

Exclude element types

Combine filters

Async usage

Paginate through all elements

Error handling

Advanced Examples

Document Structure Analyzer

Extract Tables

Build Document Outline

Search Content in Elements

Async Batch Processing

Document Comparator

Error Reference

Best Practices

Performance Optimization

Data Processing

Memory Management

Troubleshooting

Next steps