You need to convert audio to text and want to do it now — without installing Audacity, without training Whisper locally, without monthly subscriptions. This guide shows how to use TranscribeNode directly from the browser with 50 free minutes at signup.
How it works in 3 steps
1. Create a free account
Signup with email + password. We give you 50 credits instantly = 50 minutes of audio. No card, no 7-day trial with auto-charge. You try, you like, you pay (or not).
2. Upload audio or video
In the dashboard, drag your file:
- Audio: MP3, WAV, M4A, FLAC, OGG, OPUS, AAC
- Video: MP4, MOV, MKV (we extract audio automatically)
- Size: up to 500 MB (~ 8 hours of MP3 192kbps)
3. Receive result in minutes
Engine processes on dedicated GPU (RTX 3090 cluster), not expensive cloud API:
- 10 minutes audio → 1 minute processing
- 1 hour audio → 5-8 minutes
- 3 hours audio → 15-25 minutes
- 8 hours audio (max) → 40-60 minutes
You receive TXT, SRT, VTT, DOCX and JSON with per-word timestamps.
Typical use cases
| Use case | Who uses it | Best pack |
|---|---|---|
| Recorded business meeting | Companies, freelancers, consultants | Pay-as-you-go (USD 2/h) |
| Interview for article | Journalists, researchers | Starter pack (USD 5) |
| University lecture for review | Students | 50 free credits (covers semester) |
| WhatsApp voice notes | Pros with many audios | Pay-as-you-go |
| Court hearing transcripts | Lawyers | Legal monthly plan USD 49 |
| Weekly podcast | Creators | Plus pack USD 18/month |
Audio privacy (we answer honestly)
- We process on our own GPU. We don't send your audio to OpenAI, Google or Amazon. Whisper large-v3 runs on dedicated RTX 3090s in our datacenter.
- Auto-delete in 72 hours. Original audio + transcription deleted after.
- No training. We don't use your audio to train models. Whisper comes pre-trained.
- NDA available. For enterprise clients with confidential material.
TranscribeNode vs Google Speech-to-Text vs YouTube auto
| Criterion | TranscribeNode | Google Speech-to-Text | YouTube auto |
|---|---|---|---|
| EN accuracy | ~96% | ~92% | ~80% |
| Price/hour | USD 2 (Plus) | USD 1.44 standard | 0 (poor quality) |
| Setup time | 0 (login + upload) | 30-60 min (Cloud Console) | 0 (upload video) |
| Diarization | ✓ | +USD 1/h | ✗ |
| SRT/VTT export | ✓ direct | Manual | ✓ |
| Inline editor | ✓ | ✗ | ✓ in YT Studio |
Tips to maximize accuracy
- Before uploading, clean the audio if it has heavy noise.
- Remove background noise with FFmpeg if recorded in noisy place.
- For phone audios (8kHz), the engine is robust, but you can resample to 16kHz.
- For bilingual audio, leave auto-detect — Whisper switches fluidly.