---
title: "localGPT vs Chat-with-Scanned-Documents"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/promtengineer-localgpt-vs-tony-xlh-chat-with-scanned-documents"
tools: ["promtengineer-localgpt", "tony-xlh-chat-with-scanned-documents"]
---

# localGPT vs Chat-with-Scanned-Documents

*GraphCanon updated Aug 15, 2026*

## Verdict

Pick localGPT if localGPT allows users to chat with local documents using GPT models completely privately without internet access; pick Chat-with-Scanned-Documents if leverages Dynamic Web TWAIN for scanning and Tesseract.js for text extraction, integrating LangChain for chat functionality.

[localGPT](https://github.com/PromtEngineer/localGPT) reports 22k GitHub stars, 2.5k forks, and 24 open issues, last pushed Jul 18, 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 [localGPT's repository](https://github.com/PromtEngineer/localGPT) and [Chat-with-Scanned-Documents's repository](https://github.com/tony-xlh/Chat-with-Scanned-Documents).

| | [localGPT](/tools/promtengineer-localgpt.md) | [Chat-with-Scanned-Documents](/tools/tony-xlh-chat-with-scanned-documents.md) |
| --- | --- | --- |
| Tagline | Chat with your documents locally using GPT models | A demo chatting with documents scanned using Dynamic Web TWAIN and Tesseract.js |
| Stars | 22,209 | 6 |
| Forks | 2,467 | 3 |
| Open issues | 24 | 0 |
| Language | Python | JavaScript |
| Adopt for | localGPT allows users to chat with local documents using GPT models completely privately without internet access. | Leverages Dynamic Web TWAIN for scanning and Tesseract.js for text extraction, integrating LangChain for chat functionality. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | Data & Retrieval, Inference & Serving | Data & Retrieval, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [localGPT](/tools/promtengineer-localgpt.md) | [Chat-with-Scanned-Documents](/tools/tony-xlh-chat-with-scanned-documents.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Dormant (18%) |
| Days since push | 21d | 1178d |
| Open issues (now) | 24 | 0 |
| Stars delta | Unknown | 0 (30d) |
| Open issues delta | Unknown | 0 (30d) |
| Full report | [trust report](/tools/promtengineer-localgpt/trust.md) | [trust report](/tools/tony-xlh-chat-with-scanned-documents/trust.md) |

## Shared compatibility

- **Node.js**: [localGPT](/tools/promtengineer-localgpt.md) - Node.js runtime; [Chat-with-Scanned-Documents](/tools/tony-xlh-chat-with-scanned-documents.md) - Node.js runtime

## Decision facts: localGPT

- **Requirements:** Min 4 GB RAM; Requires Docker; Installation is currently tested only on macOS, though instructions for other operating systems are partially provided.
- **Adopt for:** localGPT allows users to chat with local documents using GPT models completely privately without internet access.

## 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 localGPT if…

- localGPT is primarily Python; Chat-with-Scanned-Documents is JavaScript.
- Requirements: Min 4 GB RAM; Requires Docker; Installation is currently tested only on macOS, though instructions for other operating systems are partially provided..
- Tags unique to localGPT: docker-support, document-chat, gpt models, local-inference.
- Also covers Inference & Serving.
- localGPT ships Docker support for self-hosted deployment.
- When absolute privacy is required since no data leaves the user's local device.

### Choose Chat-with-Scanned-Documents if…

- Chat-with-Scanned-Documents is primarily JavaScript; localGPT 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 localGPT

- If you need to work across multiple devices seamlessly because localGPT requires installation on each device and does not synchronize state online.
- In scenarios requiring frequent updates or model tuning from a cloud service; localGPT relies solely on locally available models which do not auto-update.

## 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 localGPT and Chat-with-Scanned-Documents?

localGPT: Chat with your documents locally using GPT models. 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 localGPT over Chat-with-Scanned-Documents?

Choose localGPT over Chat-with-Scanned-Documents when localGPT is primarily Python; Chat-with-Scanned-Documents is JavaScript; Requirements: Min 4 GB RAM; Requires Docker; Installation is currently tested only on macOS, though instructions for other operating systems are partially provided.; Tags unique to localGPT: docker-support, document-chat, gpt models, local-inference; Also covers Inference & Serving; localGPT ships Docker support for self-hosted deployment; When absolute privacy is required since no data leaves the user's local device.

### When should I choose Chat-with-Scanned-Documents over localGPT?

Choose Chat-with-Scanned-Documents over localGPT when Chat-with-Scanned-Documents is primarily JavaScript; localGPT 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 localGPT?

If you need to work across multiple devices seamlessly because localGPT requires installation on each device and does not synchronize state online. In scenarios requiring frequent updates or model tuning from a cloud service; localGPT relies solely on locally available models which do not auto-update.

### 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 localGPT or Chat-with-Scanned-Documents more popular on GitHub?

localGPT has more GitHub stars (22,209 vs 6). Stars measure visibility, not whether either tool fits your constraints.

### Are localGPT and Chat-with-Scanned-Documents open source?

Yes - both are open-source projects on GitHub (localGPT: MIT, Chat-with-Scanned-Documents: MIT).

### Where can I find alternatives to localGPT or Chat-with-Scanned-Documents?

GraphCanon lists graph-backed alternatives at [localGPT alternatives](/tools/promtengineer-localgpt/alternatives) and [Chat-with-Scanned-Documents alternatives](/tools/tony-xlh-chat-with-scanned-documents/alternatives) ([localGPT markdown twin](/tools/promtengineer-localgpt/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/promtengineer-localgpt-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, localGPT or Chat-with-Scanned-Documents?

localGPT: 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 localGPT and Chat-with-Scanned-Documents?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [localGPT trust report](/tools/promtengineer-localgpt/trust); [Chat-with-Scanned-Documents trust report](/tools/tony-xlh-chat-with-scanned-documents/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=promtengineer-localgpt`](/api/graphcanon/graph?tool=promtengineer-localgpt)
- 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/_
