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✦ Free & open sourceCustomer Support

JevChat-Windows

Local OCR chat overlay that judges intent and drafts replies via LLM.

JevChat-Windows: Chat Reply Assistant

Offline OCR screen-reader feeding LLMs to generate contextual chat response options.

Free forever · source-available · Licence not stated in the repository
✓ Light setup✓ Browser-based✓ Real-time collaboration
7
ZEKAI
Local OCR chat co-pilot
Free & open source · Customer Support
Ease of setup4
Usefulness8
Maintenance9.5
Community6.5
★ 592
GITHUB
Sep 2026
UPDATED
Licence not stated in the repository
LICENSE
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⚡ Quick answer

This is a Windows desktop overlay that reads chat windows via local OCR, evaluates intent, and generates three candidate replies for you to insert manually. It suits professionals and power users managing high-volume desktop chats who want AI-assisted drafting without auto-sending.

Runs on
Cross-platform
Hosting
Desktop
Languages
Python
License
Licence not stated in the repository

What it is

It captures your active chat window using Windows Graphics Capture and runs RapidOCR locally to parse the conversation. A dual-model backend uses one LLM to judge intent and context, and a second LLM to draft three scored reply options that you can paste with a single click.

Who it's for

It suits Windows power users looking for context-aware reply suggestions across chat applications without hooking into app processes. It does not suit non-Windows users, those seeking automated message sending, or anyone unwilling to supply their own API keys.

Key features

Local OCR Reading

Captures screen regions and parses text offline using RapidOCR without touching app databases.

Dual-Model Reasoning

Separates intent judgment from response drafting to ground suggestions in actual conversation flow.

One-Click Insertion

Fills the target chat input box with your chosen candidate while keeping sending strictly manual.

Style Matching

Feeds your recent short messages as style samples so drafts mimic your personal writing tone.

Group Chat Support

Parses speaker names and allows targeting specific participants for tailored responses.

How to start

Up and running in 3 steps

1
Download the latest release zip from the GitHub repository and extract it to a permanent directory.
2
Launch the executable and enter your Jev judgment API key and drafting LLM API key during setup.
3
Keep your chat window open, review the generated candidate replies in the floating overlay, and click insert.
Real talk

Our honest verdict

What's great

  • Operates entirely via screen capture and local OCR without process injection or account hooks.
  • Keeps API keys secure in Windows registry environment variables rather than plaintext files.
  • Completely manual sending ensures you retain final control over every message.
  • Zero token consumption and zero background calls during idle silences.

Where it falls short

  • Requires you to bring your own API keys for both judgment and drafting models.
  • Windows 10 1903 or Windows 11 required due to Windows Graphics Capture dependencies.
  • No official license stated in the repository metadata, leaving legal usage terms unclear.
Cost

Pricing & license

The software is open source and free to download, but you must pay the API usage costs for the external LLM services you configure for judgment and drafting.

Paid work

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874 open remote AI-training roles, updated November 15, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.

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Questions

FAQ

Does the tool automatically send messages for you?

No, it only populates the chat input box. Sending is always performed manually by you.

Where are my API keys stored?

API keys are written directly to your Windows user environment registry variables and never saved to local config files.

Will this tool get my chat account banned?

It relies strictly on screen capture and local OCR, functioning identically to standard screen-reading software rather than injecting code.

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