AI DocumentProcessing
Turn piles of PDFs, scans and photographed forms into structured data in your system, with a review screen for anything the software is unsure about.
AI Document Processing: what the work involves
Many businesses still run on paper and PDFs: delivery challans, purchase orders, application forms, certificates, bank letters. Staff open each file, read it, and type the values into a spreadsheet or ERP. It is slow, tedious and error-prone, transposed digits go unnoticed until a payment goes wrong, and the work piles up at month end exactly when people are busiest.
Our pipeline starts by cleaning the image, correcting rotation and splitting multi-page bundles. OCR from Google Document AI or Tesseract reads the text and layout. A language model then maps that text to your target schema, for instance supplier, date, line items and totals, and returns JSON with a confidence for each field. Rule checks verify that totals add up and dates are plausible. Clean documents flow straight to your system, while uncertain ones appear in a side-by-side review screen where a person corrects the value in seconds.
Core features
Classify and split bundles
A mixed scan is separated into individual documents and labelled by type, such as invoice, ID, statement or contract, before extraction starts.
Layout-aware extraction
Tables, headers and stamps are read with their position preserved, so line items stay aligned with their amounts and descriptions.
Schema-driven output
You define the fields and formats you need, and every document returns validated JSON that can go straight into your database or API.
Field confidence and checks
Each value carries a score, and business rules such as sums, date ranges and required fields catch errors that look plausible to a model.
Human review interface
Flagged fields are shown beside the original image so a reviewer can accept or fix them quickly, and corrections are saved for later tuning.
Searchable archive
Originals and extracted data are stored together with an audit trail, so you can find any document by content later.
What we get right before launch
Scan quality sets the ceiling
Blurry photos, skewed pages, handwriting and faded stamps lower accuracy for every tool. We test on your worst real documents, advise on capture habits, and route poor scans to review.
Sensitive documents and residency
IDs, medical papers and bank letters may not be allowed to leave a region. We can use on-premise OCR and a privately hosted model, and we limit retention of the files processed.
Choosing accuracy targets honestly
No extractor is perfect, and the cost of an error varies by field. We measure accuracy per field on your sample, set thresholds that match the risk, and keep review in the loop for money and identity fields.
Tools and technology
- Google Document AI
- Tesseract
- OpenAI
- Anthropic Claude
- Python
- FastAPI
- PostgreSQL
- AWS S3
Common questions, answered
Can it read handwriting?
Neat printed handwriting is often readable, messy cursive is not reliable. We test your samples first and send low-confidence fields to a reviewer. For critical forms, designing a cleaner input form may beat any software.
What file types are supported?
PDFs, scanned images, phone photos and common office files. Quality varies, so we add preprocessing for rotation and contrast, and report documents that are too poor to read instead of returning guesses.
Where does the data go?
That is your decision. Options range from cloud OCR services to fully on-premise processing with open models. We document each hop so you can match it to your privacy obligations and client contracts.
How do we know the extraction is correct?
We build a labelled test set from your own documents, measure per-field accuracy, and keep a sampled human check running in production so drift or new layouts are noticed early.
More AI Agents & Automation services
All AI Agents & Automation servicesInvoice Processing Automation
Supplier invoices arrive, get read, matched to orders and queued for approval without anyone retyping line items into the accounting system.
Receipt Scanning Automation
Staff photograph a receipt on their phone; the system reads it, suggests a category and files the expense, so nobody keeps a drawer of crumpled paper.
Data Entry Automation
Stop paying skilled staff to retype information from one screen into another; capture it once, validate it, and write it to the right system.
Ready to start your AI Document Processing project?
Tell us what you need and we will come back with a clear scope, timeline and the questions worth answering before any build starts.