shaulams

From field tape to rough cut — transcribe, mark clips, assemble audio pieces. Built for radio journalists and podcast producers.

14
3
100% credibility
Found Mar 28, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

FieldCut is a browser app for audio journalists to upload field recordings, generate timestamped transcripts with speaker labels, mark and export clips, add optional narration, and assemble rough cut audio files locally.

How It Works

1
🔍 Find FieldCut

A journalist friend shares FieldCut, a handy tool to turn field recordings into rough audio edits right on your computer.

2
🚀 Open the app

Launch it in your web browser – everything loads smoothly on your own machine, feeling simple and local.

3
⚙️ Easy first setup

Follow the welcoming guide to link speech-to-text and speaker-spotting helpers so the app can understand your audio.

4
Load your audio
🧪
Sample demo

Play with a ready-made interview to see the magic without using your files.

📁
Your recording

Drag in your WAV or MP3 interview to begin working with real audio.

5
📝 See the transcript glow

Watch words appear with timestamps and colors for different speakers, making it fun to spot great quotes.

6
✂️ Mark and slice clips

Click to highlight juicy parts, trim edges, and cut them into clean audio snippets automatically.

7
🎙️ Mix in narration

Optionally upload your voice-over, transcribe and clip it just like the interview.

🎛️ Build and grab your cut

Drag clips into story order, hit assemble for a polished rough audio file, plus downloads of everything – ready to polish!

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Star Growth

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AI-Generated Review

What is FieldCut?

FieldCut turns raw field tape recorder audio into a polished rough cut for podcasters and radio journalists. Upload a WAV or MP3 interview, get Whisper-powered transcription with word timestamps and optional speaker diarization, mark clips by selecting transcript text, cut them via ffmpeg, layer in narration, then assemble audio sequences into a single WAV export—plus ZIP clips or color-coded Word docs. It's a local Python/Flask web app with vanilla JS frontend, running entirely in your browser after a quick setup.

Why is it gaining traction?

No more app-hopping: transcribe, clip, narrate, and assemble audio in one bilingual (English/Hebrew) interface with waveform zoom, drag-to-order assembly, and auto-exports to Drive or folders. Built-in demo lets you test the full pipeline instantly, costs pennies via OpenAI ($0.006/min), and handles Hebrew/Arabic field recordings smoothly. Multi-project support and themes make iteration field github-style workflows feel native.

Who should use this?

Radio producers juggling field tape measure 100m interviews or soccer field taper audio need this for quick rough cuts without DAWs. Podcast hosts scripting narration over interviewee clips will love the text-to-audio flow. Solo journalists avoiding phase field github tools or pydantic field github boilerplate for audio assembly.

Verdict

Solid prototype for niche audio workflows—grab it if you're in radio/podcasts, but with 14 stars and 1.0% credibility score, expect tweaks for production. Great README and MIT license make it forkable; test the demo before committing real field tapes.

(198 words)

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