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convertFlow Desktop — v0.1.0

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@abhijathk abhijathk released this 14 May 06:53
convertFlowDesktop
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convertFlow Desktop — v0.1.0

First public desktop build. Same in-browser app, wrapped in a native window so it runs without a browser tab and works fully offline.

Why a desktop build?

convertFlow is privacy-first — everything (dataset prep, chunking, embeddings, PII redaction) runs locally in your own process. The desktop build doubles down on that:

  • No browser tabs to lose, no autosave conflicts with other sites
  • Works fully offline once installed
  • Native window controls, sized for prep work
  • Same codebase as convertflow.live — nothing extra phones home

Downloads

Pick the build for your platform:

Platform File Notes
Windows convertFlow_0.1.0_x64-setup.exe NSIS installer — recommended for most users
Windows convertFlow_0.1.0_x64_en-US.msi MSI installer — for org-managed / silent installs
macOS (Apple Silicon) convertFlow_0.1.0_aarch64.dmg M1 / M2 / M3 / M4 Macs
macOS (Intel) convertFlow_0.1.0_x64.dmg 2020-and-earlier Intel Macs
Linux (universal) convertflow_0.1.0_amd64.AppImage chmod +x and run — no install needed
Linux (Debian / Ubuntu) convertflow_0.1.0_amd64.deb sudo dpkg -i convertflow_0.1.0_amd64.deb

Install notes

Windows. This build is unsigned (code-signing certs cost ~$300–500/year). You will see a SmartScreen warning the first time you run it — click More info → Run anyway. The MSI is provided for silent / managed installs (msiexec /i convertFlow_0.1.0_x64_en-US.msi /quiet).

macOS. This build is unsigned and unnotarised (Apple Developer cert is $99/year). On first launch macOS will say "convertFlow can't be opened because Apple cannot check it for malicious software." To run anyway:

  1. Right-click convertFlow.app in Applications → Open
  2. Click Open in the dialog
  3. After the first launch, double-click works normally

Or from Terminal: xattr -dr com.apple.quarantine /Applications/convertFlow.app

Linux.

  • AppImage: chmod +x convertflow_0.1.0_amd64.AppImage && ./convertflow_0.1.0_amd64.AppImage
  • Deb: sudo dpkg -i convertflow_0.1.0_amd64.deb (Ubuntu 22.04+ / Debian 12+)
  • Requires libwebkit2gtk-4.1. Most modern distros have this; on Ubuntu install with sudo apt install libwebkit2gtk-4.1-0.

What's in this release

Convert tab — JSONL dataset prep for LLM fine-tuning

  • 20+ format presets (OpenAI, Anthropic, Mistral, Llama, Gemma, Qwen, DeepSeek, Cohere, Together AI, plain Alpaca/Vicuna, more)
  • Real-time validation against each preset's schema
  • Dataset statistics panel: role balance, token-length distribution, refusal detection, duplicate detection, content quality flags, cost estimates
  • Multi-system-prompt support (round-robin / random rotation for prompt-style ablations)
  • Preset auto-lock + prep auto-lock (set-and-forget defaults)

Chunk tab — RAG document chunking

  • PDF text extraction (in-browser pdfjs-dist)
  • Image extraction + OCR (tesseract.js)
  • Configurable chunk size + overlap
  • Chunk statistics: density, size variance, coverage, overlap waste
  • Export to JSONL / Parquet

Utilities

  • PII redactor (regex + entropy-based secret detection)
  • Token counter
  • Format converter (CSV ↔ JSONL ↔ Parquet)
  • Diff viewer

Editor

  • Monaco editor with JSONL syntax highlighting
  • Split-pane preview
  • Jump-to-line from stats panels

What's not in this release

  • Auto-updates — you'll need to grab future releases from GitHub manually. Auto-update wiring is in the codebase but disabled for v0.1.0 until I have a signing cert.
  • Code signing — unsigned on Windows and macOS. See install notes above.
  • System tray — the app runs as a regular window only. Minimize-to-tray is planned.

Known issues

  • First launch on macOS Gatekeeper requires the right-click-Open workaround (see above).
  • Linux AppImage requires libwebkit2gtk-4.1 — older distros (Ubuntu 20.04, Debian 11) won't work; please use the web version at convertflow.live.
  • Very large datasets (>500 MB) may be slow in the editor — use the web version with streaming for now.

Verify your download

SHA-256 checksums are attached as SHA256SUMS.txt. Verify with:

# macOS / Linux
shasum -a 256 -c SHA256SUMS.txt

# Windows (PowerShell)
Get-FileHash convertFlow_0.1.0_x64-setup.exe -Algorithm SHA256

Feedback

Full source: convertflow.live · MIT licensed · no telemetry, no accounts, no upsell.

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