--- title: "Chat-with-Scanned-Documents vs xberg" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/tony-xlh-chat-with-scanned-documents-vs-xberg-io-xberg" tools: ["tony-xlh-chat-with-scanned-documents", "xberg-io-xberg"] --- # Chat-with-Scanned-Documents vs xberg *GraphCanon updated Aug 18, 2026* ## Verdict Pick Chat-with-Scanned-Documents if leverages Dynamic Web TWAIN for scanning and Tesseract.js for text extraction, integrating LangChain for chat functionality; pick xberg if xberg is a polyglot document intelligence framework with a Rust core, offering text and metadata extraction across various formats including PDFs, Office documents, and more than 97 other file types. It supports multiple. [Chat-with-Scanned-Documents](https://github.com/tony-xlh/Chat-with-Scanned-Documents) reports 6 GitHub stars, 3 forks, and 0 open issues, last pushed May 25, 2023. [xberg](https://docs.xberg.io) has 9.1k stars, 562 forks, and 13 open issues, last pushed Aug 16, 2026. Figures are from public GitHub metadata via [Chat-with-Scanned-Documents's repository](https://github.com/tony-xlh/Chat-with-Scanned-Documents) and [xberg's repository](https://github.com/xberg-io/xberg). | | [Chat-with-Scanned-Documents](/tools/tony-xlh-chat-with-scanned-documents.md) | [xberg](/tools/xberg-io-xberg.md) | | --- | --- | --- | | Tagline | A demo chatting with documents scanned using Dynamic Web TWAIN and Tesseract.js | A polyglot document intelligence framework with a Rust core | | Stars | 6 | 9,128 | | Forks | 3 | 562 | | Open issues | 0 | 13 | | Language | JavaScript | Rust | | Adopt for | Leverages Dynamic Web TWAIN for scanning and Tesseract.js for text extraction, integrating LangChain for chat functionality. | xberg is a polyglot document intelligence framework with a Rust core, offering text and metadata extraction across various formats including PDFs, Office documents, and more than 97 other file types. It supports multiple | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT License allows for both free and commercial use with no need to disclose source code but requires attribution. | | Categories | Data & Retrieval, Developer Tools | Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Chat-with-Scanned-Documents](/tools/tony-xlh-chat-with-scanned-documents.md) | [xberg](/tools/xberg-io-xberg.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1178d | 1d | | Open issues (now) | 0 | 13 | | Stars delta | 0 (30d) | +460 (30d) | | Open issues delta | 0 (30d) | -5 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/tony-xlh-chat-with-scanned-documents/trust.md) | [trust report](/tools/xberg-io-xberg/trust.md) | ## 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. ## Decision facts: xberg - **Pricing:** freemium - Open-source MIT license; enterprise support is available. - **Requirements:** xberg offers flexible deployment modes including CLI, REST API server, Docker container, and MCP integration - **Adopt for:** xberg is a polyglot document intelligence framework with a Rust core, offering text and metadata extraction across various formats including PDFs, Office documents, and more than 97 other file types. It supports multiple - **License detail:** MIT License allows for both free and commercial use with no need to disclose source code but requires attribution. ## Choose when ### Choose Chat-with-Scanned-Documents if… - Chat-with-Scanned-Documents is primarily JavaScript; xberg is Rust. - 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 ### Choose xberg if… - xberg is primarily Rust; Chat-with-Scanned-Documents is JavaScript. - Pricing: Open-source MIT license; enterprise support is available.. - Requirements: xberg offers flexible deployment modes including CLI, REST API server, Docker container, and MCP integration. - Tags unique to xberg: bun, csharp, document-intelligence, elixir. - You need to extract not only text but also structured information such as images, tables from over 100 file formats ## 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 ## When NOT to use xberg - You need a solution with lower resource requirements as xberg supports extensive formats and functionalities which might be overkill for simpler tasks - Your primary use case involves real-time document processing where latency is critical. Given the breadth of its capabilities, xberg might introduce higher processing overhead compared to more focused ## Common questions ### What is the difference between Chat-with-Scanned-Documents and xberg? Chat-with-Scanned-Documents: A demo chatting with documents scanned using Dynamic Web TWAIN and Tesseract.js. xberg: A polyglot document intelligence framework with a Rust core. See the comparison table for live GitHub stats and shared categories. ### When should I choose Chat-with-Scanned-Documents over xberg? Choose Chat-with-Scanned-Documents over xberg when Chat-with-Scanned-Documents is primarily JavaScript; xberg is Rust; 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 choose xberg over Chat-with-Scanned-Documents? Choose xberg over Chat-with-Scanned-Documents when xberg is primarily Rust; Chat-with-Scanned-Documents is JavaScript; Pricing: Open-source MIT license; enterprise support is available.; Requirements: xberg offers flexible deployment modes including CLI, REST API server, Docker container, and MCP integration; Tags unique to xberg: bun, csharp, document-intelligence, elixir; You need to extract not only text but also structured information such as images, tables from over 100 file formats. ### 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 ### When should I avoid xberg? You need a solution with lower resource requirements as xberg supports extensive formats and functionalities which might be overkill for simpler tasks Your primary use case involves real-time document processing where latency is critical. Given the breadth of its capabilities, xberg might introduce higher processing overhead compared to more focused ### Is Chat-with-Scanned-Documents or xberg more popular on GitHub? xberg has more GitHub stars (9,128 vs 6). Stars measure visibility, not whether either tool fits your constraints. ### Are Chat-with-Scanned-Documents and xberg open source? Yes - both are open-source projects on GitHub (Chat-with-Scanned-Documents: MIT, xberg: MIT). ### Where can I find alternatives to Chat-with-Scanned-Documents or xberg? GraphCanon lists graph-backed alternatives at [Chat-with-Scanned-Documents alternatives](/tools/tony-xlh-chat-with-scanned-documents/alternatives) and [xberg alternatives](/tools/xberg-io-xberg/alternatives) ([Chat-with-Scanned-Documents markdown twin](/tools/tony-xlh-chat-with-scanned-documents/alternatives.md), [xberg markdown twin](/tools/xberg-io-xberg/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/tony-xlh-chat-with-scanned-documents-vs-xberg-io-xberg.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Chat-with-Scanned-Documents or xberg? Chat-with-Scanned-Documents: Dormant. xberg: Very active. 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 Chat-with-Scanned-Documents and xberg? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Chat-with-Scanned-Documents trust report](/tools/tony-xlh-chat-with-scanned-documents/trust); [xberg trust report](/tools/xberg-io-xberg/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=tony-xlh-chat-with-scanned-documents`](/api/graphcanon/graph?tool=tony-xlh-chat-with-scanned-documents) - 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/_