AI Data Extraction – Turn Documents into Text and Tables

AI data extraction with ReadyData reads text, fields and tables from PDFs, images, DOCX and PPTX. Guide relevant labels and review the source facts before downloading your results.

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How to Extract Document Data with AI

Upload a document, choose text or table output, and download the extracted content.

1

Upload your source document

Add a PDF, supported image, DOCX, or PPTX. Select the relevant document pages after the file is prepared.

2

Choose the information to extract

Select Content extraction for readable text and tables, or Table extraction for tables and factual records. Add Field preferences if useful.

3

Run and review the result

Click Process files. Compare important values and relationships with the source and check any unclear or missing content.

4

Export to your working format

Save text, Markdown, or JSON. Download extracted tables as Excel or CSV for further review and transformation.

The Same Data Comes in Different Document Layouts

Collecting names, dates, and amounts takes time when every file puts them somewhere different.

Fields move between documents
A date may sit in a heading in one file and in a paragraph in the next.
Useful details inside prose
A form field or reference number is not always part of a ready-made table.
More copying before the real work
Typing document details into your records delays the analysis or follow-up you need to do.
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Choose What to Extract from Your Documents

Preview, copy or download readable text and factual tables. Field preferences guide the content and labels; a fixed business schema still requires your own mapping and validation.

Choose Content extraction for passages with tables, or Table extraction for tables and explicit factual details.

Use Field preferences to request useful labels and explain which date, amount, or reference you mean.

Use Custom instructions to add scope or formatting requirements when the control is enabled.

Preview the content, then save TXT, Markdown, JSON, Excel, or CSV as appropriate for the result.

Move Document Data into Your Everyday Tools

Start with extracted content and continue the task in your existing files.

Prepare records with less typing
Collect readable details before adding them to your tracking sheet or database.
Reuse a field list
Save preferred field names in your browser for documents you process repeatedly.
Turn passages into working notes
Copy extracted text into an editor where you can correct it and add your own context.
Bring tables into a spreadsheet
Download the rows for checking, sorting, or calculations after preparing the relevant data types.

AI Data Extraction FAQ

What AI extraction does, how to guide it, and how to use its output.