pytesseract
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-05.)
pytesseract is Python wrapper for Tesseract OCR.
Mostly:rdf:type(4), description(1), extracts(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (8)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
extracts_withExtracts With(1)
- Ocr Image
ex:ocr_image
hasToolHas Tool(1)
- Ocr Process
ex:ocr-process
installedForInstalled for(1)
- Language Data
ex:language-data
requiredByRequired by(1)
- Language Data
ex:language-data
requiredForRequired for(1)
- Language Data Installation
ex:language-data-installation
usesUses(1)
- Ocr Image
ex:ocr_image
usesLibraryUses Library(1)
- Ocr Processing
ex:ocr_processing
usesToolUses Tool(1)
- Ocr Process
ex:ocr-process
Other facts (12)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Python Wrapper | [1] |
| Rdf:type | Library | [2] |
| Rdf:type | Ocr Software | [3] |
| Rdf:type | library | [5] |
| Description | Python wrapper for Tesseract OCR | [1] |
| Extracts | Text | [1] |
| Requires | Language Data | [3] |
| Command Line Flag | --psm 6 | [3] |
| Library | true | [3] |
| Dependency | Language Data Installation | [3] |
| Tool Type | Ocr Library | [3] |
| Is Type | Python library | [4] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (5)
ctx:claims/beam/6e3dbb29-259e-48c3-bf6f-08b9eae8927c- full textbeam-chunktext/plain1 KB
doc:beam/6e3dbb29-259e-48c3-bf6f-08b9eae8927cShow excerpt
# Handle scanned images with OCR if file.endswith('.png') or file.endswith('.jpg'): ocr_text = ocr_image(file_path) tika_text += ocr_text pdfbox_output += ocr_text # Save the extracted text to the ou…
ctx:claims/beam/99796001-e24c-4351-a787-093eed2b45b8ctx:claims/beam/5caf777d-1503-41b8-9419-ec4b1ede79eectx:claims/beam/a231477d-7c61-426e-99bd-b13903846b36- full textbeam-chunktext/plain1 KB
doc:beam/a231477d-7c61-426e-99bd-b13903846b36Show excerpt
This script provides a flexible and scalable way to compare the costs of different storage solutions. By using dictionaries and Pandas DataFrame, you can easily manage and visualize the costs for multiple storage providers. [Turn 484] User…
ctx:claims/beam/a63af613-fc59-4e73-9b70-b165ecbf1dbc- full textbeam-chunktext/plain1 KB
doc:beam/a63af613-fc59-4e73-9b70-b165ecbf1dbcShow excerpt
### Enhanced Script with Specific Error Handling ```python import pytesseract from PIL import Image import os def ocr_image(image_path): try: # Open the image using PIL image = Image.open(image_path) #…
See also
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