Key Facts
- Category
- Data & Tables
- Input Types
- file, select, text, checkbox
- Output Type
- file
- Sample Coverage
- 4
- API Ready
- Yes
Overview
Extract tabular data from PDF documents and convert it into structured JSON, flat CSV, or HTML formats using OpenDataLoader. This tool identifies semantic table blocks within your PDF, preserving row and column structures, making it easy to reuse data from financial reports, research papers, and statements without manual data entry.
When to Use
- •Extracting financial data from annual reports into spreadsheets for analysis.
- •Converting research paper data tables into machine-readable JSON for database ingestion.
- •Pulling tabular line items from digital invoices or statements into flat CSV files.
How It Works
- •Upload your PDF file containing the tables you want to extract.
- •Select your preferred export format (JSON, CSV, or HTML) and specify page ranges if needed.
- •Choose the table detection method (Default or Cluster) and optionally enable the PDF structure tree.
- •Download the extracted tables in your chosen format for immediate use.
Use Cases
Examples
1. Extracting financial report tables to CSV
Financial Analyst- Background
- Needs to analyze quarterly earnings data locked inside a 50-page corporate PDF report.
- Problem
- Manually copying and pasting tables from the PDF to Excel breaks the formatting and merges columns.
- How to Use
- Upload the PDF, set the Export Format to CSV, and specify the exact pages containing the financial tables.
- Example Config
-
Export Format: CSV, Pages: 12-15, Table Detection Method: Cluster - Outcome
- A flat CSV file containing the extracted table data, ready to be imported directly into spreadsheet software without formatting errors.
2. Converting research data to JSON
Data Engineer- Background
- Building a pipeline to ingest tabular data from hundreds of academic research PDFs.
- Problem
- Needs programmatic access to table contents, including bounding boxes and page numbers, which standard text extraction misses.
- How to Use
- Upload the research PDF, select JSON as the export format, and enable Use Struct Tree for better accuracy.
- Example Config
-
Export Format: JSON, Use Struct Tree: true - Outcome
- A structured JSON file detailing every table, row, column, and cell value, along with spatial bounding box coordinates.
Try with Samples
json, csv, htmlRelated Hubs
FAQ
What export formats are supported?
You can export extracted tables as structured JSON, flat CSV, or HTML tables.
Can I extract tables from specific pages only?
Yes, you can specify a page range (e.g., 1,3,5-7) to limit extraction to specific parts of the document.
What is the difference between JSON and CSV output?
JSON retains metadata like page numbers, bounding boxes, and grid structure. CSV flattens the data into a simple table, page, row, column, and value format.
What does the Use Struct Tree option do?
It leverages the internal structural tags of the PDF (if available) to improve the accuracy of table boundary detection.
What are the table detection methods?
You can choose between Default and Cluster methods. The Cluster method groups text elements based on spatial proximity to identify table grids.