--- title: "EasyOCR vs. Tesseract: Choosing an OCR engine in Python" canonical_url: "https://www.nutrient.io/blog/easyocr-vs-tesseract-python/" md_url: "https://www.nutrient.io/blog/easyocr-vs-tesseract-python.md" last_updated: "2026-10-23T22:13:19.413Z" description: "A practical comparison of EasyOCR and Tesseract in Python: install weight, accuracy on difficult images, GPU support, language coverage, and PDF output." --- **TL;DR** EasyOCR and Tesseract both perform optical character recognition (OCR), but they differ in deployment and output. EasyOCR combines text detection and recognition in a Python API, with CUDA or Metal Performance Shaders (MPS) support on compatible hardware. Tesseract runs on the CPU and can produce searchable PDFs through `pytesseract`; EasyOCR needs another library for PDF output. Test recognition quality and speed on representative images. Nutrient’s OCR API is an option for PDF input and searchable PDF output without maintaining the OCR engine. For a Python document workflow, the decision starts with the incoming files and the required output. A receipt photo, a dense scanned page, and a searchable PDF archive place different demands on the pipeline. This comparison covers installation, recognition options, hardware, and PDF output, with EasyOCR examples and links to the [Tesseract Python guide](https://www.nutrient.io/blog/how-to-use-tesseract-ocr-in-python.md). ## What is EasyOCR? EasyOCR is a ready-to-use OCR library from Jaided AI covering more than 80 languages. It bundles text detection and recognition into a single `readtext()` call that returns bounding boxes, recognized strings, and confidence scores together. EasyOCR uses PyTorch for detection and recognition. Its default detector is CRAFT, followed by a separate text recognizer. Missing model weights download when a `Reader` is initialized, unless automatic downloads are disabled. There’s no separate OCR executable to install, but the Python dependencies must be compatible. ## Installing EasyOCR Use a virtual environment and install the packaged release discussed here: ```bash python -m pip install easyocr==1.7.2 ``` That command also installs PyTorch: `torch` and `torchvision` are hard requirements, alongside OpenCV, SciPy, and scikit-image. That’s the practical cost. The dependency tree is large, and container images grow accordingly. Downloading and loading model weights adds startup time; reusing the `Reader` avoids repeating model initialization. The latest packaged release checked on 23 October 2026 is EasyOCR 1.7.2, released on 24 September 2024. Check [PyPI](https://pypi.org/project/easyocr/) for updates before deployment. Pin compatible versions of `torch` and `torchvision` after testing them in the target environment; EasyOCR’s version pin alone doesn’t lock its dependencies. On Windows, the project recommends installing PyTorch and `torchvision` first for the intended CPU or CUDA configuration. Tesseract needs both a Python wrapper and an executable. `pip install pytesseract` is small, but the Tesseract binary itself is a system package: ```bash # Debian/Ubuntu. sudo apt-get install tesseract-ocr ``` Install the required Tesseract language data as well; additional languages may be separate system packages. For EasyOCR, check model-cache access, dependency compatibility, and memory use. For Tesseract, verify that the executable is on `PATH` and the required `traineddata` files are available. ## Reading text with EasyOCR A `Reader` loads the models, so it should be constructed once and reused rather than created per image: ```python import easyocr reader = easyocr.Reader(["en"], gpu=False) results = reader.readtext("receipt.png") for bbox, text, confidence in results: print(f"{confidence:.3f} {text}") ``` With the default output settings, each result contains a bounding box, recognized text, and a confidence score. The box uses four corner points. A detected region can contain multiple words, so its score isn’t necessarily a per-word confidence. ### Output options `detail=0` returns strings only, and `paragraph=True` merges nearby detections into blocks instead of returning them line by line: ```python lines = reader.readtext("document.png", detail=0) blocks = reader.readtext("document.png", paragraph=True) ``` `output_format` accepts `"dict"` or `"json"` for alternative result representations. With `paragraph=True`, the default output contains boxes and combined text without the individual recognition scores. See the [EasyOCR implementation](https://github.com/JaidedAI/EasyOCR/blob/v1.7.2/easyocr/easyocr.py) for the output shapes. ### Constraining and rotating `allowlist` restricts recognition to a character set, which can help with numeric fields. Include every valid character, such as a minus sign if negative amounts are possible. `rotation_info` rotates detected text boxes and keeps the highest-confidence recognition result: ```python amounts = reader.readtext("invoice.png", allowlist="0123456789.,") rotated = reader.readtext("scan.png", rotation_info=[90, 180, 270]) ``` ## The differences that matter![EasyOCR and Tesseract compared by input quality, hardware support, searchable PDF output, and deployment requirements.](@/assets/images/blog/2026/easyocr-vs-tesseract-python/choosing-an-ocr-engine.png) ### Accuracy on difficult images EasyOCR’s detector can locate text in scene images, but detection doesn’t guarantee correct recognition of rotated, curved, or faint text. Its [recognition options](https://www.jaided.ai/easyocr/documentation/) include box rotation and contrast adjustment. Test those settings before assuming preprocessing is unnecessary. Tesseract also performs [image processing internally](https://tesseract-ocr.github.io/tessdoc/ImproveQuality.html), including binarization. External deskewing, resizing, or thresholding can help when that processing isn’t enough. Its page segmentation mode should match the layout. Compare the engines on representative images with known text. Measure character or word errors, and inspect fields where mistakes would matter downstream. Neither engine wins on every input type. ### Speed and hardware EasyOCR can select CUDA or MPS when supported by the installed PyTorch build and hardware. `gpu=False` selects the CPU. GPU support doesn’t guarantee a fixed speed advantage: image resolution, batch size, model loading, and the number of detected regions affect runtime. Tesseract’s standard OCR inference runs on the CPU. Benchmark both engines on the deployment target, measuring cold-start time separately from repeated calls. For EasyOCR, reuse the `Reader` so model loading isn’t repeated for every image. ### Languages EasyOCR covers more than 80 languages, while Tesseract provides language models for more than 100 languages through its `traineddata` files. Language coverage says nothing about handwriting accuracy. See [handwriting recognition with OCR and vision language models](https://www.nutrient.io/blog/handwriting-recognition-ocr-vlm/) for that separate evaluation. Verify the specific script rather than trusting either number, particularly for right-to-left and Indic scripts. ### PDF output Tesseract can emit a searchable PDF (an image with an invisible text layer) through `pytesseract.image_to_pdf_or_hocr(image, extension="pdf")`, which returns the PDF as bytes. EasyOCR can’t. It returns coordinates and strings, so producing a searchable PDF means assembling one with a separate library. If searchable PDF output is required, Tesseract’s writer can reduce assembly work. Check recognition quality as well: A PDF can be searchable and still contain an inaccurate text layer. ### At a glance | Capability | EasyOCR | Tesseract with `pytesseract` | | --------------------- | --------------------------------------------------- | ---------------------------------------------------------- | | Project license | Apache 2.0 | Apache 2.0 | | Architecture | PyTorch detection and recognition; CRAFT by default | C++ engine with a long short-term memory (LSTM) recognizer | | Deployment | Python dependencies and model weights | Wrapper, executable, and language data | | Recognition tuning | Contrast, box rotation, and detection settings | Image processing and page segmentation settings | | Hardware | CPU, CUDA, or MPS on supported systems | CPU inference | | Languages | More than 80 | More than 100 through language models | | Confidence output | Per detected text region by default | Word-level data through `image_to_data()` | | Searchable PDF output | Requires another library | `image_to_pdf_or_hocr()` returns PDF bytes | Choose based on measured recognition quality, deployment constraints, and the output format. For the Tesseract APIs listed here, see the [pytesseract reference](https://github.com/madmaze/pytesseract). ## Where both engines stop OCR identifies text, but it doesn’t by itself map that text into validated business records. The [document AI vs. OCR comparison](https://www.nutrient.io/blog/document-ai-vs-ocr.md) explains that distinction. An application built on either engine still needs to address the following: - **PDF input** — Both engines accept images rather than PDF input directly. Render the pages that need OCR, and decide how to handle existing text layers. - **Output handling** — EasyOCR needs a separate PDF writer for searchable output. Tesseract provides one, but either engine still needs application logic to map recognized text into business fields. The [Data Extraction API](https://www.nutrient.io/api/data-extraction-api/) returns named fields for that step. - **Deployment** — Prepare EasyOCR’s dependencies and model weights, or Tesseract’s executable and language data. Pin versions and test upgrades. - **Validation and throughput** — Check recognition errors and measure runtime and memory on representative files. The [PDF data extraction guide](https://www.nutrient.io/blog/pdf-data-extraction-developer-guide.md) covers how these responsibilities fit into a document workflow. ## Reaching the same outcome with Nutrient For teams that want to reduce OCR infrastructure work, [Nutrient OCR API](https://www.nutrient.io/api/pdf-ocr-api/) accepts a scanned PDF and returns a searchable PDF. This avoids writing the image-rendering and PDF-assembly steps around an OCR engine. Install `requests` with `python -m pip install requests`, provide a scanned `scan.pdf`, and replace the placeholder with a Nutrient API key. This example checks HTTP errors before writing the output and streams the PDF in chunks: ```python import json import requests with open("scan.pdf", "rb") as scanned: with requests.post( "https://api.nutrient.io/build", headers={"Authorization": "Bearer your_api_key_here"}, files={"scanned": scanned}, data={ "instructions": json.dumps( { "parts": [{"file": "scanned"}], "actions": [{"type": "ocr", "language": "english"}], } ) }, stream=True, timeout=(10, 120), ) as response: response.raise_for_status() with open("searchable.pdf", "wb") as output: for chunk in response.iter_content(chunk_size=65536): if chunk: output.write(chunk) ``` When the goal is structured data, evaluate the separate [Data Extraction API](https://www.nutrient.io/api/data-extraction-api/). Its parsing endpoint supports document elements or Markdown, depending on the selected output format. Its schema extraction endpoint returns named fields. The application still validates the results and integrates them with downstream systems. Both EasyOCR and Tesseract expose text locations and recognition scores. Nutrient’s schema extraction adds field-level citations that can connect extracted values to page regions and include match labels where available. Those are features of field extraction, not the searchable PDF request above. See [confidence scores and source grounding](https://www.nutrient.io/blog/document-extraction-confidence-scores.md) and [extraction case studies](https://www.nutrient.io/blog/pdf-extraction-document-case-studies.md) for examples of validation workflows. If files must stay on self-managed infrastructure, evaluate the [Python SDK](https://www.nutrient.io/sdk/python/) against the required operations. Its integration and supported features differ from the hosted APIs; verify the required local processing capabilities. [Get a searchable PDF back, without running an OCR engine](https://dashboard.nutrient.io/sign_up/?product=processor) ## Conclusion Start with a small set of representative documents and the required output. Test EasyOCR’s detection and recognition options against Tesseract’s segmentation and PDF output, recording errors and runtime on the target hardware. If maintaining that OCR pipeline would pull the team away from the application itself, evaluate Nutrient’s OCR API on the same files for searchable PDFs. If the end goal is validated fields, such as invoice totals or dates, evaluate the Data Extraction API, which can return each value with its source location. ## FAQ #### Is EasyOCR more accurate than Tesseract? There’s no universal winner. Compare both engines on representative images with known text, and tune their recognition or preprocessing settings. Scene-text detection alone doesn’t show how accurate recognition will be on every rotated, curved, or low-contrast image. #### Is EasyOCR free for commercial use? Yes. EasyOCR and Tesseract are released under Apache 2.0, which permits commercial use subject to its conditions. Review the project licenses and any distributed dependencies and model assets. #### Does EasyOCR need a GPU? No. Set `gpu=False` to run on the CPU. Compatible installations can also use CUDA or MPS. Measure performance on the deployment hardware, including model loading separately from repeated inference. #### Can EasyOCR create a searchable PDF? EasyOCR has no PDF writer, so its text and coordinates need a separate library for searchable PDF output. Tesseract can return PDF bytes through `pytesseract.image_to_pdf_or_hocr(image, extension="pdf")`. [Nutrient’s OCR API](https://www.nutrient.io/api/pdf-ocr-api/) accepts PDF input and returns a searchable PDF. #### When is a document API a better fit than either engine? An API is worth evaluating to reduce the OCR engine, model, and document-conversion infrastructure a team maintains. Use Nutrient’s OCR API for searchable PDFs or its Data Extraction API for structured data, and keep validation and downstream integration in the application. #### Why is the first EasyOCR call so slow? The `Reader` downloads detection and recognition weights for the requested languages on first use and then loads them into memory. Construct one `Reader` and reuse it across images rather than creating a new one per call, and prewarm the model cache in the container image to avoid paying the download at request time. ## Related reading - [Tesseract OCR in Python](https://www.nutrient.io/blog/how-to-use-tesseract-ocr-in-python.md) - [Handwriting recognition with OCR and VLMs](https://www.nutrient.io/blog/handwriting-recognition-ocr-vlm/) - [Document AI vs. traditional OCR](https://www.nutrient.io/blog/document-ai-vs-ocr.md) - [PDF data extraction: A developer guide](https://www.nutrient.io/blog/pdf-data-extraction-developer-guide.md) - [Confidence scores and source grounding](https://www.nutrient.io/blog/document-extraction-confidence-scores.md) - [PDF extraction case studies](https://www.nutrient.io/blog/pdf-extraction-document-case-studies.md) --- ## Related pages - [The business case for accessibility: Five ways it drives enterprise value](/blog/5-ways-accessibility-drives-enterprise-value.md) - [Accessibility Untangled Why It Matters Guide](/blog/accessibility-untangled-why-it-matters-guide.md) - [Advanced Techniques For React Native Ui Components](/blog/advanced-techniques-for-react-native-ui-components.md) - [`vector_store` holds your indexed documents (see the multimodal RAG post](/blog/agentic-rag.md) - [Ai Assistant Agent Governance](/blog/ai-assistant-agent-governance.md) - [How to build an AI agent for contract redlining against a compliance playbook](/blog/ai-contract-redlining-compliance-playbook.md) - [Ai Document Automation Extraction To Action](/blog/ai-document-automation-extraction-to-action.md) - [Ai Document Workflows Ocr Compliance Heavy Teams](/blog/ai-document-workflows-ocr-compliance-heavy-teams.md) - [Ai Legal Assistant Document Authoring](/blog/ai-legal-assistant-document-authoring.md) - [Ai Schema Generator Document Extraction](/blog/ai-schema-generator-document-extraction.md) - [Amazon Textract Alternatives](/blog/amazon-textract-alternatives.md) - [Start (clears any prior buffer), navigate the document, then stop into a file.](/blog/android-faster-pdf-rendering.md) - [Android Pdf Out Of Memory Handling](/blog/android-pdf-out-of-memory-handling.md) - [Angular File Viewer Pdf Image Office Files](/blog/angular-file-viewer-pdf-image-office-files.md) - [Approval Workflow Software](/blog/approval-workflow-software.md) - [Approvals Matrix](/blog/approvals-matrix.md) - [Apryse To Nutrient Migration](/blog/apryse-to-nutrient-migration.md) - [Auto Tagging And Document Accessibility In Dotnet Sdk](/blog/auto-tagging-and-document-accessibility-in-dotnet-sdk.md) - [Simple PII redaction.](/blog/automated-pii-removal.md) - [Azure Document Intelligence Alternatives](/blog/azure-document-intelligence-alternatives.md) - [Best Ai Document Workflow Platforms](/blog/best-ai-document-workflow-platforms.md) - [Best Csharp Pdf Library](/blog/best-csharp-pdf-library.md) - [Best Document Ai Platforms](/blog/best-document-ai-platforms.md) - [Best Document Classification Platforms](/blog/best-document-classification-platforms.md) - [Best document parser for RAG: LlamaParse vs. Unstructured vs. Reducto vs. Nutrient](/blog/best-document-parser-llamaparse-unstructured-reducto.md) - [Best Document Parsing Apis](/blog/best-document-parsing-apis.md) - [Best Document Viewers](/blog/best-document-viewers.md) - [Best Llm Document Understanding Platforms](/blog/best-llm-document-understanding-platforms.md) - [Best Multilingual Ocr Software](/blog/best-multilingual-ocr-software.md) - [Best Pdf Parsers For Rag](/blog/best-pdf-parsers-for-rag.md) - [Best Salesforce Document Generation Apps](/blog/best-salesforce-document-generation-apps.md) - [Best Secure Document Collaboration Platforms](/blog/best-secure-document-collaboration-platforms.md) - [Bpm Guide](/blog/bpm-guide.md) - [Bpm Tools](/blog/bpm-tools.md) - [Build Vs Buy Document Extraction](/blog/build-vs-buy-document-extraction.md) - [Business Automation](/blog/business-automation.md) - [Capex Vs Opex](/blog/capex-vs-opex.md) - [The CEO’s AI playbook: Why decision architecture beats model selection](/blog/ceo-ai-playbook-decision-architecture.md) - [1. 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[One segment per document found, in page order:](/blog/mailroom-automation-api.md) - [Material Requisition](/blog/material-requisition.md) - [or](/blog/merge-pdfs.md) - [Migrating Observability Hyperdx To Dash0](/blog/migrating-observability-hyperdx-to-dash0.md) - [Swift Package Manager](/blog/mobile-pdf-sdk.md) - [`elements` come from your document parser — each has a type and content.](/blog/multimodal-rag.md) - [Multipage Extraction Page Boundaries](/blog/multipage-extraction-page-boundaries.md) - [Nutrient Flutter 6 Bindings Api](/blog/nutrient-flutter-6-bindings-api.md) - [Nutrient Flutter Bindings Architecture](/blog/nutrient-flutter-bindings-architecture.md) - [Nutrient Vs Conga Composer](/blog/nutrient-vs-conga-composer.md) - [Ocr Api Comparison](/blog/ocr-api-comparison.md) - [Online Document Viewer](/blog/online-document-viewer.md) - [Open Pdf In Your Web App](/blog/open-pdf-in-your-web-app.md) - [Operations Management Software](/blog/operations-management-software.md) - [Optical Character Recognition In Scanned Pdfs](/blog/optical-character-recognition-in-scanned-pdfs.md) - [CPU](/blog/paddleocr-python-guide.md) - [PDF accessibility for developers: Meeting WCAG 2.2, Section 508, and PDF/UA with an SDK](/blog/pdf-accessibility.md) - [Extract data from PDF files: A developer guide to structured data from PDFs and scans](/blog/pdf-data-extraction-developer-guide.md) - [Pdf Extraction Benchmark Opendataloader Bench](/blog/pdf-extraction-benchmark-opendataloader-bench.md) - [Pdf Extraction Document Case Studies](/blog/pdf-extraction-document-case-studies.md) - [Pdf Page Labels](/blog/pdf-page-labels.md) - [Pdf Sdk Compliance Security Checklist](/blog/pdf-sdk-compliance-security-checklist.md) - [Pdf Sdk Performance Benchmark](/blog/pdf-sdk-performance-benchmark.md) - [Pdf Ua Compliance Guide](/blog/pdf-ua-compliance-guide.md) - [Pdf Ua Validation](/blog/pdf-ua-validation.md) - [Pdfjs Accessibility Structtree Printing](/blog/pdfjs-accessibility-structtree-printing.md) - [Pdfjs Advanced Loading Streaming Workers](/blog/pdfjs-advanced-loading-streaming-workers.md) - [Pdfjs Annotation Editor Layer](/blog/pdfjs-annotation-editor-layer.md) - [Pdfjs Area Annotations Canvas Capture](/blog/pdfjs-area-annotations-canvas-capture.md) - [Pdfjs Coordinate Systems Pdf To Screen](/blog/pdfjs-coordinate-systems-pdf-to-screen.md) - [Pdfjs Document Outline Bookmarks Metadata](/blog/pdfjs-document-outline-bookmarks-metadata.md) - [Pdfjs Eventbus Guide](/blog/pdfjs-eventbus-guide.md) - [macOS](/blog/pdfjs-file-format-conversion-to-pdf.md) - [macOS](/blog/pdfjs-generating-pdf-thumbnails-pdf2pic.md) - [Pdfjs Limitations Commercial Upgrade](/blog/pdfjs-limitations-commercial-upgrade.md) - [Pdfjs Native Annotation Layer Forms](/blog/pdfjs-native-annotation-layer-forms.md) - [Pdfjs Navigation Zoom Rotation](/blog/pdfjs-navigation-zoom-rotation.md) - [Pdfjs Pdf Page Manipulation Pdf Lib](/blog/pdfjs-pdf-page-manipulation-pdf-lib.md) - [Pdfjs React Viewer Setup](/blog/pdfjs-react-viewer-setup.md) - [Pdfjs Rendering Overlays React Portals](/blog/pdfjs-rendering-overlays-react-portals.md) - [Pdfjs Server Side Text Extraction](/blog/pdfjs-server-side-text-extraction.md) - [Pdfjs Sticky Note Annotations](/blog/pdfjs-sticky-note-annotations.md) - [Pdfjs Text Highlight Annotations](/blog/pdfjs-text-highlight-annotations.md) - [Pdfjs Text Search Pdffindcontroller](/blog/pdfjs-text-search-pdffindcontroller.md) - [Pdfjs Thumbnail Sidebar](/blog/pdfjs-thumbnail-sidebar.md) - [Pdfplumber Python Guide](/blog/pdfplumber-python-guide.md) - [People Process Tools](/blog/people-process-tools.md) - [Process Flows](/blog/process-flows.md) - [React Docx Editor](/blog/react-docx-editor.md) - [React Native Pdf Annotation](/blog/react-native-pdf-annotation.md) - [React Pdf Annotation Layer Forms](/blog/react-pdf-annotation-layer-forms.md) - [React Pdf Custom Rendering Hooks](/blog/react-pdf-custom-rendering-hooks.md) - [Using Yarn](/blog/react-pdf-editor.md) - [React Pdf Loading States Errors Passwords](/blog/react-pdf-loading-states-errors-passwords.md) - [React Pdf Non Latin Fonts Special Pdfs](/blog/react-pdf-non-latin-fonts-special-pdfs.md) - [React Pdf Outline Table Of Contents](/blog/react-pdf-outline-table-of-contents.md) - [React Pdf Performance Optimization](/blog/react-pdf-performance-optimization.md) - [React Pdf Setup Basic Rendering](/blog/react-pdf-setup-basic-rendering.md) - [React Pdf Text Layer Custom Renderer](/blog/react-pdf-text-layer-custom-renderer.md) - [React Pdf Thumbnails Page Navigation](/blog/react-pdf-thumbnails-page-navigation.md) - [Reducto Alternatives](/blog/reducto-alternatives.md) - [Requisition System](/blog/requisition-system.md) - [labels.py](/blog/route-documents-automatically-classify-api.md) - [or](/blog/sample-blog-updated.md) - [Sdk Product Updates Q2 2026](/blog/sdk-product-updates-q2-2026.md) - [System Of Record Vs Source Of Truth](/blog/system-of-record-vs-source-of-truth.md) - [Add DWS MCP Server to your Claude Code project.](/blog/teaching-llms-to-read-pdfs.md) - [Open an image file.](/blog/tesseract-python-guide.md) - [The Six Best Pdf Generator Apis](/blog/the-six-best-pdf-generator-apis.md) - [Define the HTML part of the document.](/blog/top-10-ways-to-generate-pdfs-in-python.md) - [Top 5 Javascript Pdf Viewers](/blog/top-5-javascript-pdf-viewers.md) - [Top Js Pdf Libraries](/blog/top-js-pdf-libraries.md) - [Top Ten Ways To Convert Html To Pdf](/blog/top-ten-ways-to-convert-html-to-pdf.md) - [Unstructured Alternatives](/blog/unstructured-alternatives.md) - [Using Javascript In Pdf Form Fields](/blog/using-javascript-in-pdf-form-fields.md) - [Vector Pdf](/blog/vector-pdf.md) - [Wcag2 Accessibility Requirements Documents](/blog/wcag2-accessibility-requirements-documents.md) - [Web Sdk Is Now Headless](/blog/web-sdk-is-now-headless.md) - [What Are Annotations](/blog/what-are-annotations.md) - [What Is A Vpat](/blog/what-is-a-vpat.md) - [What Is Business Logic](/blog/what-is-business-logic.md) - [What Is Document Processing](/blog/what-is-document-processing.md) - [What Is Intelligent Document Processing](/blog/what-is-intelligent-document-processing.md) - [What Is Ocr Invoice Processing](/blog/what-is-ocr-invoice-processing.md) - [What Is Pdf Ua](/blog/what-is-pdf-ua.md) - [Why Pdfium Is A Trusted Platform For Pdf Rendering](/blog/why-pdfium-is-a-trusted-platform-for-pdf-rendering.md) - [Why Your Ai Agent Hallucinates Pdf Table Data](/blog/why-your-ai-agent-hallucinates-pdf-table-data.md)