Tell the AI what data to extract — names, dates, figures, tables, specific terms. Get structured results without manual searching.
A contract with 30 pages of terms. A report with financial data spread across multiple sections. An invoice with specific fields you need to record. Manually finding and copying specific data from PDFs is tedious and error-prone.
Tell the AI what you need: 'Extract all payment amounts', 'List every date mentioned', 'What are the names of all parties in this agreement?'. The AI finds and retrieves it.
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Maximum size: 20MB
Summarize long papers
Find specific info
Explain complex concepts
AI data extraction lets you specify what information you need from a PDF using natural language, and the AI retrieves it. Unlike keyword search, you can describe the data conceptually — 'all financial obligations', 'every deadline mentioned', 'the contact details for each party'. The AI understands what you're looking for and finds it across the entire document.
Use cases include:
Extracting all payment terms and deadlines from a contract.
Pulling financial figures from a report for analysis.
Listing all parties, their roles, and contact details from a legal document.
Extracting product names, quantities, and prices from an invoice.
Collecting all references and citations from a research paper.
AI data extraction is most valuable for targeted retrieval of specific information from complex, multi-page documents.
Upload, describe what to extract, get results.
Upload your PDF document.
Describe what data you want to extract: 'Extract all dates', 'List all monetary amounts', 'What are the names and roles of all people mentioned?'
Review the extracted data. Ask for additional extractions or refinements.
Upload, describe what to extract, get structured results.
Upload your PDF. The text is extracted and indexed.
Describe what data you want to extract in plain English.
The AI searches the document for matching content.
Results are presented in a structured, readable format.
The AI uses named entity recognition and semantic understanding to locate specific data types.
Your extraction request is analyzed to understand what type of data you're looking for — dates, names, numbers, specific terms, or conceptual information.
The document is searched using semantic similarity — finding content that matches your request even if it uses different terminology.
The extracted data is presented in a structured format — a list, table, or organized response depending on what was requested.
For targeted extraction of specific information from complex documents.
You get a tool that’s:
For targeted data extraction from complex documents, AI is faster and more flexible than manual searching.
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Find answers to common questions about our PDF tools
The AI can extract names, dates, numbers, addresses, table data, lists, key terms, and any specific information you describe. Ask 'Extract all dates mentioned', 'List all the parties named in this contract', or 'What are all the financial figures in this report?'
Yes. The AI can read tables and extract the data. For complex tables, ask specifically: 'Extract the data from the table on page 3' or 'What are the values in the revenue column?'. For structured table export, our PDF to Excel tool is better suited.
Copy-paste requires you to find the information manually. AI extraction lets you describe what you want in plain English and the AI finds and retrieves it, even if it's spread across multiple pages or sections.
Each session processes one document at a time. For bulk extraction across multiple documents, process them individually or consider our PDF to Excel tool for structured data export.
Scanned PDFs need a text layer for AI extraction. If your scanned PDF is already searchable (has a text layer), it works directly. If it's image-only, use our OCR tool first to add a text layer.
Can't find the answer you're looking for? Please chat with our friendly team.
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