--- title: "DocsGPT vs Chat-with-Scanned-Documents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/arc53-docsgpt-vs-tony-xlh-chat-with-scanned-documents" tools: ["arc53-docsgpt", "tony-xlh-chat-with-scanned-documents"] --- # DocsGPT vs Chat-with-Scanned-Documents *GraphCanon updated Aug 15, 2026* ## Verdict Pick DocsGPT if docsGPT is a private AI platform tailored for building agents, conducting deep research, and enabling enterprise search capabilities; pick Chat-with-Scanned-Documents if leverages Dynamic Web TWAIN for scanning and Tesseract.js for text extraction, integrating LangChain for chat functionality. [DocsGPT](https://app.docsgpt.cloud/) reports 18k GitHub stars, 2.1k forks, and 96 open issues, last pushed Aug 14, 2026. [Chat-with-Scanned-Documents](https://github.com/tony-xlh/Chat-with-Scanned-Documents) has 6 stars, 3 forks, and 0 open issues, last pushed May 25, 2023. Figures are from public GitHub metadata via [DocsGPT's repository](https://github.com/arc53/DocsGPT) and [Chat-with-Scanned-Documents's repository](https://github.com/tony-xlh/Chat-with-Scanned-Documents). | | [DocsGPT](/tools/arc53-docsgpt.md) | [Chat-with-Scanned-Documents](/tools/tony-xlh-chat-with-scanned-documents.md) | | --- | --- | --- | | Tagline | Private AI platform for agents, assistants and enterprise search. | A demo chatting with documents scanned using Dynamic Web TWAIN and Tesseract.js | | Stars | 18,216 | 6 | | Forks | 2,122 | 3 | | Open issues | 96 | 0 | | Language | Python | JavaScript | | Adopt for | DocsGPT is a private AI platform tailored for building agents, conducting deep research, and enabling enterprise search capabilities. | Leverages Dynamic Web TWAIN for scanning and Tesseract.js for text extraction, integrating LangChain for chat functionality. | | Persona | - | - | | Runtime | - | - | | License | MIT License - Permits free use for commercial or non-commercial purposes but requires you to include the license text if distributing source code. | MIT | | Categories | AI Agents, Data & Retrieval | Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [DocsGPT](/tools/arc53-docsgpt.md) | [Chat-with-Scanned-Documents](/tools/tony-xlh-chat-with-scanned-documents.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 1178d | | Open issues (now) | 96 | 0 | | Stars delta | +223 (30d) | 0 (30d) | | Open issues delta | +4 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/arc53-docsgpt/trust.md) | [trust report](/tools/tony-xlh-chat-with-scanned-documents/trust.md) | ## Decision facts: DocsGPT - **Requirements:** DocsGPT is built using Python and PyTorch, requiring familiarity with these technologies. It supports a wide variety of models but may need customization based. - **Adopt for:** DocsGPT is a private AI platform tailored for building agents, conducting deep research, and enabling enterprise search capabilities. - **License detail:** MIT License - Permits free use for commercial or non-commercial purposes but requires you to include the license text if distributing source code. ## Decision facts: Chat-with-Scanned-Documents - **Adopt for:** Leverages Dynamic Web TWAIN for scanning and Tesseract.js for text extraction, integrating LangChain for chat functionality. ## Choose when ### Choose DocsGPT if… - DocsGPT is primarily Python; Chat-with-Scanned-Documents is JavaScript. - Requirements: DocsGPT is built using Python and PyTorch, requiring familiarity with these technologies. It supports a wide variety of models but may need customization based.. - Tags unique to DocsGPT: agent-builder, agents, ai, chatgpt. - Also covers AI Agents. - When you need to build custom AI agents with built-in agent builder capability ### Choose Chat-with-Scanned-Documents if… - Chat-with-Scanned-Documents is primarily JavaScript; DocsGPT is Python. - Tags unique to Chat-with-Scanned-Documents: document scanning, dynamic web twain, langchain, ocr. - Also covers Developer Tools. - Need to interact with content from scanned documents ## When NOT to use DocsGPT - If your project relies on open-source tools that are not compatible with the specific ecosystem of DocsGPT - When you specifically require real-time collaboration features directly integrated into the tool, as DocsGPT focuses more on agent building and research capabilities rather than live collaborative AI - For projects where a significant emphasis is placed on user-facing search interfaces, as DocsGPT's strength lies more in backend integration and deep research functionalities ## When NOT to use Chat-with-Scanned-Documents - Situations demanding real-time, high-volume document scanning and processing - Applications requiring more advanced AI chat capabilities beyond LangChain ## Common questions ### What is the difference between DocsGPT and Chat-with-Scanned-Documents? DocsGPT: Private AI platform for agents, assistants and enterprise search.. Chat-with-Scanned-Documents: A demo chatting with documents scanned using Dynamic Web TWAIN and Tesseract.js. See the comparison table for live GitHub stats and shared categories. ### When should I choose DocsGPT over Chat-with-Scanned-Documents? Choose DocsGPT over Chat-with-Scanned-Documents when DocsGPT is primarily Python; Chat-with-Scanned-Documents is JavaScript; Requirements: DocsGPT is built using Python and PyTorch, requiring familiarity with these technologies. It supports a wide variety of models but may need customization based.; Tags unique to DocsGPT: agent-builder, agents, ai, chatgpt; Also covers AI Agents; When you need to build custom AI agents with built-in agent builder capability. ### When should I choose Chat-with-Scanned-Documents over DocsGPT? Choose Chat-with-Scanned-Documents over DocsGPT when Chat-with-Scanned-Documents is primarily JavaScript; DocsGPT is Python; Tags unique to Chat-with-Scanned-Documents: document scanning, dynamic web twain, langchain, ocr; Also covers Developer Tools; Need to interact with content from scanned documents. ### When should I avoid DocsGPT? If your project relies on open-source tools that are not compatible with the specific ecosystem of DocsGPT When you specifically require real-time collaboration features directly integrated into the tool, as DocsGPT focuses more on agent building and research capabilities rather than live collaborative AI For projects where a significant emphasis is placed on user-facing search interfaces, as DocsGPT's strength lies more in backend integration and deep research functionalities ### When should I avoid Chat-with-Scanned-Documents? Situations demanding real-time, high-volume document scanning and processing Applications requiring more advanced AI chat capabilities beyond LangChain ### Is DocsGPT or Chat-with-Scanned-Documents more popular on GitHub? DocsGPT has more GitHub stars (18,216 vs 6). Stars measure visibility, not whether either tool fits your constraints. ### Are DocsGPT and Chat-with-Scanned-Documents open source? Yes - both are open-source projects on GitHub (DocsGPT: MIT, Chat-with-Scanned-Documents: MIT). ### Where can I find alternatives to DocsGPT or Chat-with-Scanned-Documents? GraphCanon lists graph-backed alternatives at [DocsGPT alternatives](/tools/arc53-docsgpt/alternatives) and [Chat-with-Scanned-Documents alternatives](/tools/tony-xlh-chat-with-scanned-documents/alternatives) ([DocsGPT markdown twin](/tools/arc53-docsgpt/alternatives.md), [Chat-with-Scanned-Documents markdown twin](/tools/tony-xlh-chat-with-scanned-documents/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/arc53-docsgpt-vs-tony-xlh-chat-with-scanned-documents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, DocsGPT or Chat-with-Scanned-Documents? DocsGPT: Very active. Chat-with-Scanned-Documents: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for DocsGPT and Chat-with-Scanned-Documents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [DocsGPT trust report](/tools/arc53-docsgpt/trust); [Chat-with-Scanned-Documents trust report](/tools/tony-xlh-chat-with-scanned-documents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=arc53-docsgpt`](/api/graphcanon/graph?tool=arc53-docsgpt) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_