AI data extraction

Turn messy documents into structured data. AI data extraction helps you pull text, fields, tables, and key details from PDFs, images, invoices, and other documents, then organize everything into structured data your workflow can actually use.

• 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 recurring 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

1. 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.
2. 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.
3. 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.

Built for recurring document workflows

Vellparser 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. Vellparser 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 recurring files faster: Use Vellparser 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 in transit
• Private extraction results
• Authenticated access