Local Video-to-Text Transcription Tool

The Problem

Recording meetings and videos is easy. Extracting useful information from them? Not so much.

I needed a tool to parse meeting recordings and generate clean transcripts for AI summarization - removing filler words, silence, and that one colleague who always goes off-topic about their cat :3

So I built one. (The tool, not the cat.) (⌐■_■)–︻╦╤─ - - - *ba dum tss*

What It Does

Drop a video file → Get clean text transcript → Feed to AI → Get actionable summary.

Tech: OpenAI Whisper + GPU acceleration + Python

Speed: 1-hour video → 6 minutes transcription (RTX 4060)

Privacy: 100% local processing. No cloud uploads.

Key Features

• 🚀 GPU-accelerated - 10-15x faster than CPU ( ͡° ͜ʖ ͡°)ﾉ⌐■-■

• 🎯 High accuracy - 90-95% with medium model

• 🌍 99+ languages - Auto-detection included (dead languages not included, sorry Ancient Egypt) (҂◡_◡) ᕤ

• 🔇 Smart filtering - Skips silence automatically (and your colleague's "umms")

• 📦 Batch processing - Handle multiple files overnight (while you sleep like a normal person ☉ ‿ ⚆

• 🔒 Private - Everything runs on your machine (NSA not invited)

Real Use Case

Original workflow:

• 2-hour meeting recorded

• 30 minutes reviewing and taking notes

• Scattered information, missing context

With this tool:

• 2-hour meeting recorded ʕノ•ᴥ•ʔノ ︵ ┻━┻

• 6 minutes auto-transcribed

• 2 minutes AI summary (ChatGPT/Claude)

• Clean document with decisions and action items

Time saved: ~85%

Setup

# 1. Clone
git clone https://github.com/pavelzosim/video-transcription-tool.git

# 2. Install (Windows GPU)
install_gpu.bat

# 3. Run
run_transcription.bat

Drop videos in video/ folder. Transcripts appear in output/.

Performance

Video	Model	Time	Speed
10 min	medium	3 min	3.3x
1 hour	medium	18 min	3.3x
1 hour	small	12 min	5.0x

CPU processing: 40-60 minutes for 1-hour video

Use Cases

• Meetings - Extract action items and decisions

• Interviews - Transcribe for content creation

• Lectures - Convert recordings to study notes

• Podcasts - Generate show notes automatically

AI Integration

The tool generates clean text perfect for AI summarization. Example prompt:

Analyze this meeting transcript:
1. Key decisions made
2. Action items (with owners)
3. Topics discussed
4. Follow-up required

Remove filler words and focus on actionable info.

Tech Stack

• faster-whisper - Optimized Whisper implementation

• CTranslate2 - 4x inference speed boost

• PyTorch - GPU acceleration

• FFmpeg - Audio preprocessing

Why Local?

No cloud uploads = no privacy concerns. Perfect for:

• Confidential meetings

• Client calls

• Internal discussions

• GDPR compliance

Requirements

• Python 3.8+ (if you're still on Python 2, we need to talk)

• NVIDIA GPU (optional but recommended - your CPU will thank you)

• FFmpeg (for faster processing and to feel like a hacker)

Design Choices

User-friendly first: Interactive menu instead of command-line parameters. Non-technical users can run it without reading docs (because let's be honest, nobody reads docs).

Old school terminal interface! :3

Smart defaults: Medium model, VAD enabled, beam size 5. Works great out of the box.

Error handling: Gracefully handles corrupted files, missing audio, format issues. (Tested with videos recorded on a potato.)

Results

Personal metrics after 2 months:

• Processed: 60+ hours of meetings

• Time saved: ~15 hours

• Accuracy: 93% average (medium model)

Get It

🔗 GitHub: github.com/pavelzosim/video-transcription-tool

📖 Docs: Full setup guide included

💬 Issues: Bug reports and features welcome

📄 License: MIT - use it however you want

❤️ Built for productivity. Optimized for meetings. Free and open-source.

( ´◔ ω◔`) ノシ Support: Buy Me a Coffee | Patreon | GitHub