Extract Table from PDF - Data Parser API

PDF4me Extract Table From PDF enables you to extract table structures and data from PDF documents. This API service processes PDF files and extracts table content, structure, and data from PDF documents. The API receives PDF content through REST API calls, utilizing Base64 encoding for secure transmission. With support for structured data output and table analysis, this solution is ideal for data processing workflows and business intelligence platforms.

Authenticating Your API Request

To access the PDF4me REST API, every request must include proper authentication credentials. Authentication ensures secure communication and validates your identity as an authorized user of the REST API.

Get your api Key

Key Features

Table Extraction: Extract table structures and data from PDF documents
Structured Data Output: Retrieve table data in organized, structured formats for easy integration
Table Structure Preservation: Maintain table layout, headers, rows, and column relationships
Base64 Encoding: Secure file content transmission using Base64 encoding
Simple API Integration: RESTful API designed for automated table extraction workflows

REST API Endpoint

The PDF4me REST API uses standard HTTP methods to interact with resources. All table extraction operations are performed through a single endpoint:

Method: POST
Endpoint: /api/v2/ExtractTableFromPdf

REST API Parameters

Complete list of parameters for the Extract Table From PDF REST API. Parameters are organized by category for better understanding and implementation.

Important: Parameters marked with an asterisk (*) are required and must be provided for the API to function correctly.

Required Parameters

Parameter	Type	Description	Example
docName*	String	Source PDF file name with proper .pdf extension for document identification and table extraction processing	`output.pdf`
docContent*	Base64 (String)	The content of the input PDF file encoded in Base64 format for table analysis and data extraction processing	`JVBERi...`

Optional Parameters

Parameter	Type	Description	Example
async	Boolean	Enable asynchronous processing. When `true`, the API returns `202 Accepted` with a `Location` header for polling the result	`true`

Output

The PDF4me Extract Table From PDF REST API returns different responses based on the processing mode. The API returns extracted table data as a JSON response.

Success Response
Asynchronous Processing
Error Responses
Response Format Details

Synchronous Processing (Default)

When async is false or not provided, the API returns the extracted table data immediately.

Status Code: 200 OK

Response Format:

{
  "tables": [
    {
      "rows": [
        ["Header 1", "Header 2", "Header 3"],
        ["Data 1", "Data 2", "Data 3"],
        ["Data 4", "Data 5", "Data 6"]
      ],
      "columns": 3,
      "rows": 3
    }
  ]
}

The response contains an array of tables, each with rows, columns, and cell data.

Asynchronous Processing

When async is true, the API processes the document asynchronously.

Initial Response:

Status Code: 202 Accepted

Response Headers:

Location: https://api.pdf4me.com/api/v2/ExtractTableFromPdfStatus/{operationId}

Response Body:

{
  "traceId": "operation-trace-id"
}

Polling for Results:

Use the Location header URL to poll for completion:

const response = await fetch(locationUrl, {
  headers: { 'Authorization': 'Basic ' + apiKey }
});

// Continue polling until status code is 200
if (response.status === 200) {
  const result = await response.json();
  // Process extracted table data
}

Error Responses

Status Code	Description	Example Response
400 Bad Request	Invalid request parameters or missing required fields	`{"error": "Missing required parameter: docContent"}`
401 Unauthorized	Invalid or missing API key	`{"error": "Unauthorized"}`
408 Request Timeout	Request processing timeout	`{"error": "Request timeout"}`
500 Internal Server Error	Server error during processing	`{"error": "Internal server error"}`

Request Example

Content-Type: application/json
Authorization: Basic YOUR_BASE64_ENCODED_API_KEY

Note:

Get your API key from the PDF4me Dashboard

The API key must be Base64 encoded and prefixed with "Basic " in the Authorization header

Example: If your API key is abc123, encode it to Base64 and use Authorization: Basic YWJjMTIz

Payload

Basic Request:

{
  "docContent": "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",
  "docName": "output.pdf"
}

With Asynchronous Processing:

{
  "docContent": "JVBERi0xLjQKJeLjz9MK...",
  "docName": "output.pdf",
  "async": true
}

Code Samples

The PDF4me Extract Table From PDF REST API provides code samples in multiple programming languages. Choose the language that best fits your development environment:

C# (CSharp) Sample

Complete C# implementation for extracting tables from PDF:

View C# Sample

Table Extraction Features

Data Extraction Capabilities

Complete Table Recovery: Extract all table data from PDF documents with accurate structure preservation
Header Recognition: Identify and preserve table headers, column names, and row labels
Cell Content Extraction: Extract individual cell content with proper data types and formatting
Table Structure Analysis: Maintain table layout, relationships, and hierarchical structure

Advanced Processing

Multi-table Support: Process multiple tables within a single PDF document
Complex Table Handling: Extract tables with merged cells, spanning rows, and complex layouts
Format Preservation: Maintain original table formatting, styling, and visual appearance
Data Validation: Ensure data integrity and accuracy during extraction process

Professional Features

Structured Output: Generate organized, structured data for easy integration
Batch Processing: Process multiple PDFs and extract tables efficiently
Quality Assurance: Ensure extraction accuracy and reliability for business applications
Enterprise Integration: Seamless integration with existing data management systems

Industry Use Cases & Applications

Business Intelligence & Analytics Use Cases

Financial Reporting: Extract financial tables from reports for data analysis and reporting
Performance Metrics: Process KPI tables and performance dashboards for business intelligence
Data Warehousing: Extract structured data from documents for data warehouse population
Business Analytics: Convert PDF tables into analyzable data formats for insights

Get Help

Get Your API Key API Samples Getting Started

Authenticating Your API Request​

Key Features​

REST API Endpoint​

REST API Parameters​

Required Parameters​

Optional Parameters​

Output​

Request Example​

Header​

Payload​

Code Samples​

Table Extraction Features​

Data Extraction Capabilities​

Advanced Processing​

Professional Features​

Industry Use Cases & Applications​

Get Help​