Open source alternative to Happy Scribe, Otter.ai, Descript, Rev.com and Sonix
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Transform audio and video into text locally with a built-in subtitle editor, 60+ language translation, and zero data sent to external servers.
Whishper runs entirely on your hardware, so interview audio never leaves your infrastructure. Combine URL-based or file-based transcription with the built-in subtitle editor to produce timestamped text for fact-checking or archival.
The audio sources are not sensitive and you want the convenience of a managed API with no server overhead. In that case, Otter.ai's managed tier is simpler to start with.
Upload a video file or paste a YouTube URL, let Whishper transcribe it with FasterWhisper, and export an SRT or VTT subtitle file ready for your video editor. The CPS warnings in the subtitle editor flag over-paced captions before export.
You need automated subtitle burning (rendering captions into the video file). Whishper exports subtitle files for external editors; it does not render video with burned-in subtitles.
Whishper exposes a Transcription API layer that wraps FasterWhisper. Teams building internal tools can self-host Whishper as the transcription backend and call it from their own applications.
You need a fully documented REST API with official client libraries. Whishper's API is for internal use and its documentation is limited; calling faster-whisper directly may serve production needs better.
Teams that record internal meetings but cannot use cloud services due to compliance or policy constraints can use Whishper to generate transcripts and translate them for team members, all on internal infrastructure.
Your team needs speaker diarization (identifying who said what). Whishper does not currently support speaker identification.
Cloud transcription services charge per minute, per hour, or per seat, and they process your audio on someone else's servers. For researchers handling confidential interviews, journalists protecting sources, medical professionals dealing with patient data, or developers building transcription-dependent tools, that trade-off is unacceptable. Even for lower-stakes use cases, the costs add up fast: a team transcribing hours of meeting recordings per week quickly exceeds what flat-rate subscriptions cover.
The other problem is output control. Most commercial transcription tools lock subtitles and transcripts into their own editors and export formats. When you need SRT files for a video editor, VTT for a web player, or plain text for a search index, you are dependent on the vendor's export pipeline. A self-hosted transcription suite eliminates the cost model and the data dependency together.
Every transcription, translation, and subtitle edit runs on your machine. No audio is sent to external servers, and the tool can work fully offline after initial setup. Your files stay yours.
Uses FasterWhisper as the Whisper backend, which delivers significantly faster transcription on CPU compared to the original OpenAI Whisper model. NVIDIA GPU acceleration is also supported for even faster results on compatible hardware.
Edit subtitles directly in the web UI without exporting first. The editor supports CPS (characters per second) warnings to flag over-paced captions, segment splitting, segment insertion, and real-time highlighting based on media position.
Translate transcriptions to and from over 60 languages using Argos Translate and LibreTranslate. Translation runs locally in a separate container, so no external API is needed for multilingual output.
Download transcriptions in TXT, JSON, VTT, or SRT formats, or copy raw text to the clipboard. VTT and SRT exports are ready for direct use in most video editors and web video players.
Transcribe media directly from a URL without downloading the file first. Any source supported by yt-dlp (YouTube, Vimeo, and hundreds of other platforms) can be queued by URL in the web UI.
Otter.ai and Whishper both convert spoken audio to text, but they serve opposite deployment models. Otter.ai is a managed cloud service; Whishper is a self-hosted suite that runs entirely on your own infrastructure.
| Feature | Whishper | Otter.ai |
|---|---|---|
| License | AGPL-3.0 | Proprietary |
| Deployment | Self-hosted (Docker) | Cloud only |
| Data privacy | Local processing | Processed on Otter.ai servers |
| Pricing | Free (self-hosted) | Per-seat monthly subscription |
| Translation | 60+ languages (local) | Limited |
| Subtitle editor | Yes, built-in | No |
Whishper is the better choice when audio privacy is a hard requirement, when you process high volumes that would exceed managed plan limits, or when you need subtitle editing in the same workflow. Otter.ai is the better choice for teams that want a managed service, need calendar integration and meeting bot features, or cannot maintain a self-hosted server.
Descript is a video and podcast editing tool with AI transcription built in. Whishper is a transcription-first tool with subtitle editing; it does not edit audio or video files.
| Feature | Whishper | Descript |
|---|---|---|
| License | AGPL-3.0 | Proprietary |
| Deployment | Self-hosted (Docker) | Cloud only |
| Data privacy | Local processing | Processed on Descript servers |
| Subtitle editor | Yes | Yes |
| Video editing | No | Yes |
| Pricing | Free (self-hosted) | Per-seat monthly subscription |
Whishper is the better choice when you only need transcription and subtitle export, when audio privacy matters, or when cost control is the priority. Descript is the better choice when you need a complete audio and video editing environment with transcription built in.
Rev.com offers both AI and human transcription as a managed service, billed per minute. Whishper provides AI transcription locally at no per-minute cost.
| Feature | Whishper | Rev.com |
|---|---|---|
| License | AGPL-3.0 | Proprietary |
| Deployment | Self-hosted (Docker) | Cloud only |
| Data privacy | Local processing | Processed on Rev.com servers |
| Pricing | Free (self-hosted) | Per-minute billing |
| Human transcription | No | Yes |
| Translation | 60+ languages (local) | Limited |
Whishper is the better choice for teams with predictable, high-volume transcription needs where per-minute billing adds up. Rev.com is the better choice when you need human-reviewed transcripts for legal or compliance purposes, or when one-off transcription is more practical than running a self-hosted stack.
No. Every component runs locally: FasterWhisper handles transcription, LibreTranslate handles translation, and MongoDB stores your transcription history. None of your audio or text leaves your machine unless you configure it to.
Yes. FasterWhisper is efficient enough to transcribe on CPU-only hardware. GPU acceleration (NVIDIA only) is optional and speeds up processing but is not required to run the tool.
Whishper exports transcriptions in TXT, JSON, VTT, and SRT formats. You can also copy raw text directly to your clipboard from the web UI.
The main branch is currently frozen while a full v4 rewrite is underway on a separate branch. The project received its last push in July 2026. Check the v4 branch on GitHub for active development progress.
Whishper supports translation to and from over 60 languages using Argos Translate and LibreTranslate. Both translation libraries run locally in a Docker container, so no external translation API is needed.
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