Side by side
f4transkript vs Whisper
Both stand on transcription software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan LinuxMacWeb+1
f4 combines transcription, correction and qualitative analysis tools in one interface, with both automatic and manual workflows. The demo has defined limits, and mixed-language recordings may need attention because only the upload-selected language is recognized.
Visit f4transkript
Free plan Open source APILinuxMac+2
Whisper provides multilingual speech-processing capabilities as locally installable, MIT-licensed code and model weights. Performance varies by language, and the turbo model is not intended for translation.
Visit WhisperThe facts
| f4transkript | Whisper | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Yes |
| Runs on | Linux, Mac, Web, Windows | API, Linux, Mac, Self-hosted, Windows |
| Lowest paid plan | See the plans | See the plans |
| Plans published | 25 | 3 |
| Maker | f4transkript | Not published |
| Website | audiotranskription.de | github.com |
| On transcription software | #6 of 46 | #2 of 46 |
f4transkript: what it does well
- Supports 46 languages across four listed platforms
- Automatic transcription includes speaker differentiation and timestamps
- Manual workflow supports USB foot pedals
- Analysis includes codes, memos and group comparisons
- New accounts receive 15 minutes of automatic transcription
What to know first
- Unlicensed demo is limited to 10 texts and 10 codes
- Demo playback is limited to five minutes
- Mixed-language recordings may have blank or inaccurate passages
Whisper: what it does well
- Supports transcription, translation and language identification
- Includes six model sizes with different tradeoffs
- Code and weights are MIT-licensed
- Offers command-line and Python interfaces
- Exports TXT, VTT, SRT, TSV, JSON and JSONL
What to know first
- Requires ffmpeg for installation
- Rust may be needed if a prebuilt wheel is unavailable
- VRAM needs range from approximately 1 GB to 10 GB
- Turbo is not trained for translation
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