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PaddleOCR Alternatives
Similar projects and alternatives to PaddleOCR
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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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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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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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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scantailor-advanced
ScanTailor Advanced is the version that merges the features of the ScanTailor Featured and ScanTailor Enhanced versions, brings new ones and fixes.
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doctr
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
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PyMuPDF
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
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wdoc
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc
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keras-ocr
A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better PaddleOCR alternative or higher similarity.
PaddleOCR discussion
PaddleOCR reviews and mentions
Posts with mentions or reviews of PaddleOCR.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-02-15.
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Show HN: Kreuzberg – Modern async Python library for document text extraction
https://github.com/PaddlePaddle/PaddleOCR
Personally I‘ve used Tesseract before but the results were underwhelming, so I‘m curious how Paddle OCR performs in comparison.
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OCR4all
What kind of accuracy have you reached with this pipeline of Tesseract+LLM? I imagine that there would be a hard limit as to what level the LLM could improve the OCR extract text from Tesseract, since its far from perfect itself.
Haven't seen many people mention it, but have just been using the PaddleOCR library on it's own and has been very good for me. Often achieving better quality/accuracy than some of the best V-LLM's, and generally much better quality than other open-source OCR models I've tried like Tesseract for example.
https://github.com/PaddlePaddle/PaddleOCR/blob/main/README_e...
https://huggingface.co/spaces/echo840/ocrbench-leaderboard
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Why LLMs Suck at OCR
I tried https://github.com/PaddlePaddle/PaddleOCR for my own use case (scanline images of parcel labels) and it beat Tesseract by an order of magnitude.
(Tesseract managed to get 3 fields out of a damaged label, while PaddleOCR found 35, some of them barely readable even for a human taking time to decypher them)
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Practical Approaches to Key Information Extraction (Part 1)
This is where PaddleOCR comes in—it enhances the vision capabilities of the LLM by providing precise OCR text, helping the model focus on exactly what needs to be extracted.
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Show HN: LLM Aided OCR (Correcting Tesseract OCR Errors with LLMs)
Was this by any chance Paddle OCR https://github.com/PaddlePaddle/PaddleOCR
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OCR Solutions Uncovered: How to Choose the Best for Different Use Cases
Budget Constraints: For users with limited budgets, open-source options like Tesseract OCR or PaddleOCR provide good solutions that can be customized to meet specific business needs. Additionally, consider Klippa or API4AI OCR for affordable yet reliable OCR services that work out-of-the-box.
- Ask HN: What are you using to parse PDFs for RAG?
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PDF Hell and Practical RAG Applications
Paddle OCR
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Ask HN: I have many PDFs – what is the best local way to leverage AI for search?
If 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.
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Leveraging GPT-4 for PDF Data Extraction: A Comprehensive Guide
PyTesseract Module [ Github ] EasyOCR Module [ Github ] PaddlePaddle OCR [ Github ]
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A note from our sponsor - InfluxDB
www.influxdata.com | 21 Jun 2025
Stats
Basic PaddleOCR repo stats
69
50,509
9.7
5 days ago
PaddlePaddle/PaddleOCR is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of PaddleOCR is Python.
Sponsored
InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com