PP-ChatOCR
DomesticFreeLong Document Parsing
Document Recognition, Table Extraction, Layout Analysis, Document Q&A
Developer:Baidu PaddlePaddle
PP-ChatOCRIntroduction
PP-ChatOCR is an open-source document recognition and Q&A tool built on PaddlePaddle. It supports OCR for scanned documents, images, and PDFs, enabling interactive Q&A based on recognized content. Ideal for digitizing paper archives, ancient texts, scanned contracts, and similar materials. Output is for reference only; verify critical information manually. The project is fully open-source with no subscription fees. Developers can deploy locally or on servers, customize recognition models, and use it for document digitization and building local knowledge bases.
Main features of PP-ChatOCR
Key Product Features
- 1Scan documents, images, and PDFs for text recognition
- 2Table Recognition and Structured Extraction
- 3Ask questions based on the document after recognition
- 4Supports custom model fine-tuning
- 5On-premise deployment with full data control
- 6Open-source code, secondary development
PP-ChatOCR Pricing Plans
Free Tier, Paid Plans, Billing Options, Private Deployment & Enterprise Pricing
- 1Free quota: Open-source and free with no usage limits; compute costs are borne by the user.
- 2Paid: No paid version
- 3Billing: Free; users cover compute costs.
- 4Private Deployment: Supports on-premise local deployment
PP-ChatOCR User Guide
Entry URL, Registration Requirements, Brief Operation Steps, and API / Client Support
Entry Point:www.paddlepaddle.org.cn
- 1Entry: https://www.paddlepaddle.org.cn
- 2Sign up: No account required, local deployment
- 3Steps: Visit the official website to get project code.
- 4Set up PaddlePaddle runtime environment
- 5Deploy Project
- 6Upload scanned documents for recognition and Q&A
- 7Client/API: Open-source local deployment package
PP-ChatOCRParameter Overview
Information compiled from public sources; official information prevails.
- Is data used for training?
- Deployed locally; data is not uploaded externally.
- Underlying model
- PaddleOCR + Large Model Components
- Context length
- Configure model on deployment
- Multi-modal support
- Images, scanned documents
- Search Online
- Offline by default
- File Parsing
- PDF, JPG, PNG
- Enterprise Edition and Deployment
- No public information available
- Compliance Certification
- No public information available
- Domestic Availability
- No public information available
Field Description:Will my input be used for model training, and can I turn this off?
Field Description:Primary models supported by the product, or the range of switchable models
Field Description:The maximum context size per conversation determines the length of documents it can read.
Field Description:Supported input and output formats, including text, images, audio, video, and files
Field Description:Supports real-time web search and provides source links?
Field Description:Supports uploading files and parsing capabilities, such as PDFs, spreadsheets, and code.
Field Description:Does it offer an enterprise edition, on-premises deployment, and team permission management?
Field Description:Publicly disclosed security compliance certifications and generative AI service filing status
Field Description:Convenience of access and supported payment methods in mainland China