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f4transkript vs Whisper

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Whisper

8.9#2 in ai video caption generators$0.01 usage-based
Free planAPILinuxmacOSSelf-hosted
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What both publish

Factf4transkriptWhisper
Export formatsDOCX,RTF,SRTtxt,vtt,srt,tsv,json,jsonl
Intended usersThe maker presents f4 for transcription and qualitative research work, with individual, student, teaching, institutional, and campus license options.OpenAI describes the open-sourced models and inference code as a foundation for building applications and further research on robust speech processing.
PlatformsThe desktop app is available for Windows 10 or later and macOS 12 or later; Linux is offered as an untested version without official support, and automatic transcription is also available in a browser.The repository gives ffmpeg installation instructions for Ubuntu or Debian, Arch Linux, macOS, and Windows.
Purposef4 supports automatic and manual transcription, correction, and qualitative analysis of text.Whisper is a general-purpose speech recognition model for multilingual transcription, speech translation, and language identification.

f4transkript plans

  • Student license (3 months)€25, paid once
  • Student license (3 months)€25 a month
  • Student license (6 months)€33, paid once
  • Student license (6 months)€33 a month
  • f4 (6 months)€149 a month
  • f4 (6 months)€149, paid once

Whisper plans

  • Self-hosted WhisperFree
  • Whisper (open-source code and model weights)Free
  • Whisper API$0.01 a month

Pick f4transkript if…

f4 suits people doing transcription and qualitative research, including students, teachers, and institutional users. It is relevant for workflows that need both automatic transcription and manual correction or text analysis.

Pick Whisper if…

Whisper may suit developers and researchers building speech-processing applications or exploring multilingual transcription and translation. It is also an option for people comfortable installing and running command-line or Python software locally.

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