Platform · OCR
Optical character recognition that reads like a human
Printed, handwritten, stamped, photographed, faxed — DocuMind's OCR engine turns any page into accurate machine-readable text, with layout and tables preserved.
Accuracy you can audit
Every character, every confidence score
DocuMind OCR does not just dump text. Each recognised word carries a bounding box, a confidence score and a link back to its position on the page — so downstream extraction and validation always know where a value came from and how much to trust it.
{
"page": 1,
"words": [
{ "text": "Wharfe", "bbox": [84, 121, 152, 138], "confidence": 0.99 },
{ "text": "Supplies", "bbox": [158, 121, 244, 138], "confidence": 0.99 },
{ "text": "Ltd", "bbox": [250, 121, 286, 138], "confidence": 0.98 },
{ "text": "INV-2026-0417", "bbox": [512, 96, 688, 118], "confidence": 1.00 },
{ "text": "£14,820.00", "bbox": [560, 841, 688, 863], "confidence": 0.99 }
],
"tables_detected": 1,
"handwriting_detected": false,
"language": "en-GB"
}
Capabilities
Built for real-world paper, not lab conditions
Handwriting recognition
Reads cursive and print handwriting on delivery notes, application forms and annotated contracts — with confidence scores so you know when to double-check.
Table & layout awareness
Preserves tables, columns, checkboxes and reading order. Complex invoice grids and financial statements come out as structured rows, not a text soup.
40+ languages, mixed pages
A bilingual contract or an invoice with English headers and Polish line items is handled on the same page — language detection is automatic.
Barcodes & identifiers
QR codes, Code 128, reference numbers and account codes are captured alongside text and linked to the right document fields.
Stamps & marks
Paid stamps, approval seals and wet signatures are detected as events — useful evidence for finance and legal audit trails.
Pre-processing that just works
Deskewing, denoising, de-shadowing and auto-cropping run before recognition, so phone photos of paper perform like flatbed scans.
Benchmarks
Field-level accuracy by input quality
Measured on a rolling benchmark of 2.4 million pages from live customer workloads, Q1 2026.
| Input type | Field-level accuracy |
|---|---|
| Clean native PDF | 99.9% |
| 300 dpi flatbed scan | 99.6% |
| Printed text, mobile photo | 99.1% |
| Handwritten forms (print style) | 97.8% |
| Handwritten forms (cursive) | 95.2% |
| Faxed / low-contrast documents | 96.4% |
Low-confidence words are flagged automatically and can be routed to a human verification queue.
Test our OCR against your messiest documents
Faded faxes, coffee-stained delivery notes, cramped handwriting — send us your worst and we will show you what DocuMind reads.