AI data extraction
Make document data ready for work, not cleanup
AI data extraction should do more than read a file. It should help your team save time, avoid manual mistakes, and turn every document into structured data that can move through the rest of your business.
Spend less time copying data by hand
Turn PDFs, images, invoices, and forms into structured fields without repeating the same manual entry work for every file.
Catch mistakes before they enter your workflow
Extract names, dates, totals, tables, and custom fields in a consistent format, so your spreadsheets and databases start with cleaner data.
Make document data ready to export
Move from messy files to structured data you can review, download, or use in PDF to JSON AI workflows without rebuilding the output by hand.
Process repeat documents with less effort
Reuse extraction rules across similar documents, so recurring uploads become a repeatable AI data extraction process instead of a growing backlog.
How to use AI data extraction
Set the extraction rules once, upload your document, and get structured data that is ready to review, export, or use in your workflow.
Define extraction rules
Tell the extractor what data you need from each document, such as names, dates, totals, table rows, or custom fields. Clear rules help AI data extraction return consistent results for your workflow.
Upload document
Add a PDF, image, invoice, receipt, form, or other file. The extractor reads the document content and applies your rules, so you can process real files without manual copy and paste.
Get structured data
Review the extracted fields and export clean structured data for spreadsheets, databases, or automation. Turn document data extraction into usable output your team can trust.
Ready for real document workflows
Pixcribe gives your team the control, consistency, and structured output needed to turn messy documents into repeatable data workflows.
Extract with consistency
Define the fields you need once, then reuse the same extraction setup across similar documents so every upload produces a predictable structure.
Handle messy layouts
Documents do not always follow the same template. Pixcribe reads labels, context, tables, and visual structure to keep extraction useful when layouts vary.
Review before export
Check extracted fields before they move downstream, so mistakes are caught early instead of spreading into spreadsheets, databases, or internal tools.
Shape data for your systems
Turn document content into structured fields that are easier to export, store, query, or pass into automation workflows.
Process repeat work faster
Use Pixcribe for recurring invoices, forms, reports, and document batches where manual copy and paste turns into a growing backlog.
Keep document work controlled
Work with sensitive files in a focused extraction flow, keeping source documents and extracted data organized around the task at hand.
Built for sensitive document data
Security and privacy controls for files, prompts, and extracted results.
No training on your data
Encrypted transfer
Private extraction results
Authenticated access
Frequently Asked Questions
AI data extraction uses artificial intelligence to read documents, images, PDFs, forms, invoices, and other files, then pull out the information you need in a structured format. Instead of only copying text, it identifies fields, labels, tables, and context so the result is easier to review, export, and use in your workflow.
OCR turns visible text into machine-readable text. AI data extraction goes further by understanding what that text means, where it belongs, and how it relates to other parts of the document. That makes it better suited for extracting names, dates, totals, table rows, IDs, and custom fields from real business documents.
Yes. It can work with scanned PDFs, screenshots, receipts, forms, and image-based documents when the content is clear enough to read. Scan quality still matters, so blurry, cropped, or low-contrast files may need extra review.
You can extract common fields such as names, dates, invoice numbers, totals, addresses, IDs, line items, table rows, and other custom values. The best use case is any document where important information is trapped in a PDF, image, form, or file that would otherwise require manual copying.
Yes. Extracted document data can be organized into structured output for review, export, storage, or automation. This is useful when you want to move information from PDFs or images into spreadsheets, databases, internal tools, or PDF to JSON workflows.
No. You define what information you want to extract, upload your document, and review the structured results before using them elsewhere. This makes the extraction process easier to repeat across similar files without rebuilding the workflow each time.
No. Your uploaded files, extraction instructions, and extracted results are not used to train AI models. This is especially important for workflows that involve invoices, financial records, forms, contracts, or other sensitive documents.
Start extracting data from documents in minutes
Upload a PDF, image, invoice, or form and let AI data extraction pull out the fields, tables, and details you need for review, export, or your next workflow.
