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Top 23 OCR Open-Source Projects
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PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
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ShareX
ShareX is a free and open source program that lets you capture or record any area of your screen and share it with a single press of a key. It also allows uploading images, text or other types of files to many supported destinations you can choose from.
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EasyOCR
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
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paperless-ngx
A community-supported supercharged version of paperless: scan, index and archive all your physical documents
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siyuan
A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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unstructured
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
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ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
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Easydict
一个简洁优雅的词典翻译 macOS App。开箱即用，支持离线 OCR 识别，支持有道词典，🍎 苹果系统词典，🍎 苹果系统翻译，OpenAI，Gemini，DeepL，Google，Bing，腾讯，百度，阿里，小牛，彩云和火山翻译。A concise and elegant Dictionary and Translator macOS App for looking up words and translating text.
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donut
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
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video-subtitle-extractor
视频硬字幕提取，生成srt文件。无需申请第三方API，本地实现文本识别。基于深度学习的视频字幕提取框架，包含字幕区域检测、字幕内容提取。A GUI tool for extracting hard-coded subtitle (hardsub) from videos and generating srt files.
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TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
If you want to learn more visit the complete tesseract documentation.
Project mention: Ask HN: I have many PDFs – what is the best local way to leverage AI for search? | news.ycombinator.com | 2024-05-30If you want to run locally you can look into this https://github.com/PaddlePaddle/PaddleOCR
https://andrejusb.blogspot.com/2024/03/optimizing-receipt-pr...
But I suggest that you just skip that and use gpt-4o. They aren't actually going to steal your data.
Sort through it to find anything with a credit card number or anything ahead time.
Or you could look into InternVL..
Or a combination of PaddleOCR first and then use a strong LLM via API, like gpt-4o or llama3 70b via together.ai
If you truly must do it locally, then if you have two 3090s or 4090s it might work out. Otherwise it the LLMs may not be smart enough to give good results.
Leaving out the details of your hardware makes it impossible to give good advice about running locally. Other than, it's not really necessary.
Project mention: I am out of the loop. Is Next.js "the future" and something I should consider adding to my knowledge pool? | /r/webdev | 2023-07-05What do you have against tesseract.js?
Project mention: From Dull to Dazzling: 3 Methods to Elevate Your Writing with Visual Content | dev.to | 2024-05-02For Windows: ShareX - https://github.com/ShareX/ShareX
Project mention: I built an online PDF management platform using open-source software | news.ycombinator.com | 2024-05-12Ok on cleaned aligned data, but there are a few newer ones like EasyOCR [0] that can deal with much less organized text (albeit more slowly)
[0] https://github.com/JaidedAI/EasyOCR
Project mention: Ask HN: I have many PDFs – what is the best local way to leverage AI for search? | news.ycombinator.com | 2024-05-30Paperless supports OCR + full text indexing: https://docs.paperless-ngx.com/
As far as AI goes, not sure.
Try SiYuan Note. It's free and open source local-first mix of Notion and Obsidian.
https://github.com/siyuan-note/siyuan
Project mention: TextSnatcher: Copy text from images, for the Linux Desktop | news.ycombinator.com | 2024-03-14Try https://github.com/ocrmypdf/OCRmyPDF - it uses Tesseract behind the scenes and it absolutely brilliant.
Project mention: Show HN: Synthesize TikZ Graphics Programs for Scientific Figures and Sketches | news.ycombinator.com | 2024-06-06already claim to (at least partially) support this.
[1] https://github.com/lukas-blecher/LaTeX-OCR
Sorry about that! I should have checked before sharing that link.
It looks like Microsoft published the code on GitHub, so you might be able to deploy it via Azure. (I haven't tried it.)
https://github.com/Microsoft/ailab/blob/master/Sketch2Code/R...
Be careful with unstructured:
https://github.com/Unstructured-IO/unstructured/blob/d11c70c...
from: https://github.com/open-webui/open-webui/issues/687
Project mention: Better RAG Results with Reciprocal Rank Fusion and Hybrid Search | news.ycombinator.com | 2024-05-30Within our open source RAG product RAGFlow(https://github.com/infiniflow/ragflow), Elasticsearch is currently used instead of other general vector databases, because it can provide hybrid search right now. Under the default cases, embedding based reranker is not required, just RRF is enough, while even if reranker is used, keywords based retrieval is also a MUST to be hybridized with embedding based retrieval, that's just what RAGFlow's latest 0.7 release has provided.
On the other hand let me introduce another database we developed, Infinity(https://github.com/infiniflow/infinity), which can provide the fastest hybrid search, you can see the performance here(https://github.com/infiniflow/infinity/blob/main/docs/refere...), both vector search and full-text search could perform much faster than other open source alternatives.
From the next version(weeks later), Infinity will also provide more comprehensive hybrid search capabilities, what you have mentioned the 3-way recalls(dense vector, sparse vector, keyword search) could be provided within single request.
Consider that not all language files work with the original tesseract (0 and 3). Although generally the neural networks one is the one that gives the best result. You can find the models compatible with the original tesseract and neural networks in the tesseract repository.
I'm part of the team that build LlamaParse. It's net improvement compare to other PDF->Structured Text extractors (I build several in the past, includig https://github.com/axa-group/Parsr).
For character extraction, LlamaParse use a mixture of OCR / character extraction from the PDF (it's the only parser I'm aware of that address some of the buggy PDF font issues, check the 'text' mode to see raw document before reconstruction), use a mixture of heuristic and Machine learning models to reconstruct the document.
Once plug with a Recursive retrieval strategy, allow you to get Sota result on question answering over complexe text (see notebook: https://github.com/run-llama/llama_parse/blob/main/examples/...).
AMA
maybe this is better? https://github.com/clovaai/donut
I'm not sure
Project mention: [DISC] - The angel who came to pick me up is a Gal (Oneshot by Shiraishi Kouhei) | /r/manga | 2023-09-06OCR works pretty good. ocr.space, ocr.best and cotrans.touhou.ai/ are all pretty nice.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
OCR related posts
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A Picture Is Worth 170 Tokens: How Does GPT-4o Encode Images?
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Microsoft Research chief scientist has no issue with Recall
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Microsoft has gone radio silent on Windows Recall
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OCR with tesseract, python and pytesseract
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TotalRecall: Windows 11 Recall Pwned
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Security researcher discovers Microsoft's Recall tool is woefully insecure
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OCR Tools for Mac, iOS and Windows
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A note from our sponsor - Scout Monitoring
www.scoutapm.com | 7 Jun 2024
Index
What are some of the best open-source OCR projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | tesseract-ocr | 58,936 |
| 2 | PaddleOCR | 39,374 |
| 3 | Tesseract.js | 33,906 |
| 4 | ShareX | 28,156 |
| 5 | EasyOCR | 22,419 |
| 6 | paperless-ngx | 17,530 |
| 7 | siyuan | 16,628 |
| 8 | OCRmyPDF | 12,353 |
| 9 | LaTeX-OCR | 11,163 |
| 10 | Bob | 8,161 |
| 11 | ailab | 7,651 |
| 12 | unstructured | 7,017 |
| 13 | ragflow | 8,744 |
| 14 | Easydict | 6,179 |
| 15 | tessdata | 5,998 |
| 16 | Parsr | 5,683 |
| 17 | pytesseract | 5,588 |
| 18 | donut | 5,434 |
| 19 | video-subtitle-extractor | 5,070 |
| 20 | SwiftOCR | 4,600 |
| 21 | layout-parser | 4,573 |
| 22 | TNN | 4,304 |
| 23 | manga-image-translator | 4,447 |
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