Handwriting OCR vs Tesseract OCR
Handwriting OCR
handwritingocr.comTesseract OCR
tesseract-ocr.github.ioSide by side
| Figure | Handwriting OCR | Tesseract OCR |
|---|---|---|
| Price from | $1,916/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 5 | 1 |
| Spec score · OCR API Software | 8.2 (#11) | 8.2 (#15) |
| Integrations | Official workflows include Zapier, Google Drive, Dropbox, Microsoft OneDrive and a Google Workspace add-on for Drive and Gmail. | The project documentation lists language wrappers including Python, Java, Swift, Flutter, Ruby, Rust, and Go. |
| Support | The product is run by a small team in central London, and the same people who build it handle customer support. | The project directs users to its documentation and FAQ, forums, past issues and mailing lists, and asks that repository issues be used for bugs rather than questions. |
Plans
Handwriting OCR
- Pay as You Go$15, paid once
- Starter$1,916 a month
- Pro$5,950 a month
- BusinessPrice not published
- EnterprisePriced on request
In their own words
Handwriting OCR
Handwriting OCR has no write-up on Specifiction yet; its figures are above.
Tesseract OCR
Tesseract OCR is a free, open-source engine that extracts printed text from images. It can be run from the command line or used through an API; the project does not include a graphical application. It recognizes more than 100 languages out of the box and supports Unicode UTF-8. Version 4 introduced an LSTM neural-network engine for line recognition while retaining the legacy character-pattern engine. Input formats include PNG, JPEG, TIFF, JPEG 2000, GIF, WebP, BMP, and PNM. Output formats include plain text, hOCR, PDF, TSV, ALTO, and PAGE. Tesseract cannot read PDF files directly, although PDF is available as an output format; the documentation suggests converting files or using OCRmyPDF. The project documents wrappers for several languages, including Python, Java, Swift, Flutter, Ruby, Rust, and Go, as well as C and C++ APIs. The repository code uses Apache License 2.0, though dependencies may have different licenses. Image quality may need improvement for better recognition results.