Data labeling
Document annotation and data extraction for intelligent document processing
Key-value fields, tables, layout regions and OCR corrections for invoices, receipts, IDs, contracts and claims, labeled and double-checked against your schema.
- Pilot phase
- Two or more review layers
- You own every label
Every field checked, because every field gets posted.
Document AI fails in the details: a total read from the wrong line, a date in the wrong format, a table row split in two. Those errors flow straight into finance systems, KYC decisions and claims.
We label documents against your schema, validate fields with rules where possible (dates, totals, ID formats) and have a second reviewer check every extracted value before delivery.
Used for
- Invoice and receipt automation
- KYC and identity document checks
- Insurance claims processing
- Contract review and analytics
- Logistics paperwork
Industries: Finance & insurance
What our document data extraction covers
Combine any of these in one workflow and one guideline.
Key-value extraction
Fields such as vendor, date, totals and IDs, linked to their location on the page.
Table capture
Rows, columns and cells, including multi-page and nested tables.
Layout regions
Headers, paragraphs, signatures, stamps and logos for layout models.
OCR correction
Fixing OCR text so it matches the source exactly.
Document classification
Sorting by type, language and quality.
Handwriting
Transcription of handwritten forms and notes.
Formats and tools
Delivery formats
- JSON
- CSV
- COCO (layout)
- PAGE XML
- Custom schema
Tools we work in
- Label Studio
- Labelbox
- Your in-house tool
Pricing
Document processing from $0.10 per page, and from $0.07 at volume.
How we keep it accurate
Every project runs on the same four-check QA process. See how our QA works.
Rule-based validation
Dates, totals, currency and ID formats are checked automatically where possible.
Four-eyes review
A second reviewer verifies every extracted value before delivery.
Sensitive-data handling
Identity and financial documents handled only in restricted workspaces.
How a project runs
Scope and guidelines
We review a sample, agree classes, edge cases and acceptance criteria, and sign your NDA.
Pilot phase
Pilot phase helps you judge quality, speed and communication.
Certified team
Annotators pass a gold-set test before they are cleared for production.
Production and reporting
Batches with QA reports, in your format, on an agreed schedule.
Document data extraction questions
Which document types do you handle?
Invoices, receipts, purchase orders, IDs, bank statements, insurance claims, contracts and handwritten forms, among others.
Can you work from scans and phone photos?
Yes. Poor-quality images are flagged using your rules, so the model isn’t trained on guesses.
How do you protect identity documents?
Under a data-processing agreement, in access-controlled workspaces with named staff. See our security page.
Can you also do the data entry itself?
Yes. Our back-office team processes invoices and records directly in your systems.
Send a sample. See the labeling quality first.
Share a few files and a line about your goals. A project lead replies within one business day with an approach, a timeline and a price.