Read Greek from a photo, scan or screenshot: accented vowels, the diaeresis, and final sigma (ς) as distinct from medial sigma (σ) — a distinction a model trained on Latin text loses. English on the same page is read by the same pack, which matters for scientific and mathematical documents.
How it works
- Drop an image or PDF. Text detection runs immediately.
- Pick your language pack (downloaded once, 8–17 MB) and press Read text.
- Copy the lines, or download .txt / .json. PDFs are read cover to cover.
Questions
- Does it read polytonic (ancient) Greek?
- The pack is trained on modern Greek, so monotonic text is what it is good at. Polytonic breathings and the iota subscript are outside that training — expect the letters to come back and the diacritics to be unreliable.
- Does my file get uploaded?
- No. The models and all processing run inside your browser on your own device. You can verify this yourself: open your browser’s DevTools, watch the Network tab, and process a file: there are no uploads. After the first visit most tools also work fully offline.
- Which languages are supported?
- 106 languages across Latin, Cyrillic, Arabic, Devanagari, CJK, Greek, Thai, Tamil and Telugu scripts. Bengali is the one major gap, since no v5 model exists for it yet, and the picker says so rather than guessing.
- How accurate is it?
- On clean document text, the measured character error rate is under 2%, and every line carries a confidence score so you can see which ones to check. Handwriting and low-resolution photos will read worse.
- Does it read scanned PDFs?
- Yes. Digital PDFs are read from their own text layer, with exact characters at exact positions. Scanned pages go through detection and recognition, and mixed documents use both.