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What Tesseract does—and what it doesn’t
Tesseract analyzes image content and produces recognized text or structured OCR output. It is a recognition engine, not a complete desktop scanning application: the official manual documents command-line and API use and notes that Tesseract has no built-in GUI. The manual describes the project as open source under the Apache 2.0 license. Tesseract user manual
The manual covers Tesseract 5.x and identifies version 5 as the current stable major version. It does not establish the latest minor or patch release, so consult the project’s release information for an exact version before choosing or documenting one.
Install the engine and the language data
Installation has two parts: the Tesseract program and the relevant traineddata files. The engine alone may not have the language or script support your images require. Package names, available language data, and installation locations vary by operating system and Linux distribution. Follow the instructions for your platform, then make sure the traineddata files are in a tessdata directory that Tesseract can find. Official installation guidance
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There is no single installation command that applies to every platform. Linux distributions commonly provide packages for the engine and language data; other platform instructions use package managers, installers, or manual installation of .traineddata files.
Run OCR from the command line
The basic form is:
tesseract imagename outputbaseHere, imagename is the input image and outputbase is the output filename stem. The documented default is English with page segmentation mode 3. Specify a language explicitly with -l when needed:
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tesseract input.tiff output -l engLanguage codes must correspond to installed, discoverable traineddata. You can request multiple languages together by joining their codes with a plus sign; the installation guide’s example is:
tesseract input.tiff output -l eng+deuFor an explicit LSTM run, the command-line guide gives this form:
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tesseract input.tiff output --oem 1 -l engThe right settings depend on the image’s quality, page layout, language, and script. Tesseract’s documentation does not guarantee a particular accuracy for an untested input, so check results on representative pages before relying on them.
Choose an OCR engine mode and matching models
Tesseract 4.0 introduced an engine based on LSTM neural networks. In Tesseract 5, the documented engine mode options include --oem 1 for LSTM and --oem 0 for the legacy engine. Command-line usage guide
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- LSTM: Use
--oem 1with LSTM traineddata. The officialtessdata_bestandtessdata_fastmodel sets contain LSTM models only. - Legacy: Use
--oem 0when you need the legacy engine and have compatible legacy traineddata. Legacy models are included in thetessdatarepository’s model files.
Model availability and compatibility matter as much as the engine-mode flag: selecting a mode does not install its traineddata. Check which model set you installed and use a compatible engine mode.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Choose an output format for your workflow
Tesseract can produce several kinds of output. The useful choice depends on whether you need text alone, a document people can search, or OCR structure and coordinates. Official FAQ on output formats
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| Output | What it provides | Useful when |
|---|---|---|
| Plain text | Recognized text | You need text for review, editing, or another processing step. |
| Searchable PDF | The page image with a hidden searchable text layer | You want to preserve the scanned page’s appearance while making its text searchable. |
| hOCR | HTML-based OCR output that can include word coordinates | You need recognized words associated with positions on the page. |
| TSV | Tab-separated OCR output | You need structured results in a format suited to parsing or analysis. |
The command-line guide documents producing a searchable PDF with the pdf output configuration:
tesseract input.tiff output pdfOutput options and examples are described in the command-line usage guide.
Use an API or a third-party graphical interface
If you want to integrate OCR into software, the project provides a programmable API in addition to the command-line program. If you want point-and-click scanning, Tesseract itself does not supply that interface. The manual points users toward third-party GUIs, wrappers, and integrations, but their availability and maintenance vary; check the individual project before adopting one. Tesseract user manual
What to check when OCR results are poor
Start with the parts of the setup that determine whether Tesseract can interpret the input correctly:
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Quick Recap
- Confirm that the traineddata for the image’s language or script is installed and discoverable.
- Check that the language codes passed to
-lmatch the installed files. - Verify that the selected
--oemmode is compatible with the traineddata model set. - Review whether the image quality and page layout are suitable for the default segmentation behavior; the basic command uses page segmentation mode 3.
- Compare output from representative pages before applying a configuration to a larger collection.
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