OCR: Read Text from Any Image
Crumpled receipts. Phone photos. Screenshot emails. Scanned contracts. Faxed documents. Our OCR reads them all and converts images into structured invoice data.
Try OCR NowWhat OCR Handles
Phone Camera Photos
Snap a photo of a paper receipt with your phone. Even if it's crumpled, stained, or poorly lit—OCR extracts vendor, date, amount. Works with iPhone, Android, any camera.
Scanned PDFs
Photocopied contracts, scanned invoices from clients, faxed documents—OCR converts scanned pages into searchable text for AI extraction.
Screenshots
Screenshots from email confirmations (flights, hotels), time tracking apps (Toggl, Harvest), expense software—OCR reads text from any screenshot format.
Poor Quality Images
Low resolution receipts, rotated images, thermal paper receipts (faded), coffee-stained documents—OCR does its best. Accuracy: 80-90% depending on quality.
The Unstructured Data Advantage
You don't need perfect PDFs. Upload the messy reality:
✓ Tilted phone photos
OCR auto-corrects rotation
✓ Wrinkled receipts
AI reads despite creases
✓ Email screenshots (PNG)
Booking confirmations, Uber receipts
✓ Mixed formats
PDF + JPG + PNG in same upload
Traditional OCR tools fail on messy inputs. Ours doesn't.
How OCR Works (Technical)
1. Image Preprocessing
OCR engine automatically enhances images: contrast adjustment, noise reduction, rotation correction. This improves accuracy on poor-quality scans.
2. Text Detection
Tesseract.js identifies text regions, recognizes characters, and outputs raw text. Uses English language model trained on billions of documents.
3. AI Semantic Extraction
OCR output (raw text) is fed to GPT-5 which understands context. Even if OCR reads "Cl1ent Name: Acm3 Corp" (with OCR errors), the AI corrects to "Client Name: Acme Corp".
OCR Accuracy by Source
Even at 70% OCR accuracy, the AI's semantic understanding fills gaps and corrects errors.
Test OCR with Your Messiest Receipt
Crumpled, faded, photo from bad lighting—upload it and see what happens.
Try It Free