Apryse OCR SDK vs Tesseract OCR
Apryse OCR SDK
apryse.comTesseract OCR
tesseract-ocr.github.ioSide by side
| Figure | Apryse OCR SDK | Tesseract OCR |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · OCR API Software | 8.2 (#10) | 8.2 (#15) |
| Input formats | Supported inputs include JPEG, PNG, TIFF, BMP, other common image formats, and PDFs containing raster images. | It supports image formats including PNG, JPEG and TIFF. |
| Output formats | It can add a selectable text layer to PDFs or return OCR results as JSON or XML with text and position data. | It can output plain text, hOCR, PDF, invisible-text-only PDF, TSV, ALTO and PAGE. |
| Purpose | Apryse OCR turns scanned images and image-based PDFs into searchable PDFs or structured text with position data. | Tesseract is an open source text recognition (OCR) engine for extracting printed text from images. |
| Support | Apryse says trial users can get free technical support from the SDK developers and customers can contact developers and solution engineers for technical 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
In their own words
Apryse OCR SDK
Apryse OCR SDK 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.