Amberscript: Audio and video to text service offering automatic and human-verified transcripts and subtitles. Scriberr: Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Amberscript when transcribing interviews, research, and media for accurate records matters most, and Scriberr when researchers and journalists generating diarized transcripts of recorded conversations matters most. Run both through a week of actual calls to see which suits your workflow.
Audio and video to text service offering automatic and human-verified transcripts and subtitles.
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
Amberscript is a speech-to-text service that converts audio and video into text and subtitles, offering both automatic AI transcription and human-verified options. Users upload recordings and choose between editable automatic transcripts produced by speech recognition or expert-reviewed transcripts refined by professional editors for higher accuracy. The platform similarly provides subtitles in either automated or professionally edited form, including translation services, and offers a transcript editor for reviewing and correcting output. Amberscript supports a large number of languages and additionally provides a speech-to-text API and data annotation services, as well as a meeting transcription offering for capturing and converting spoken meetings into text. The combination of self-serve automatic transcription and a human-review tier lets users trade off speed against accuracy depending on the use case. Amberscript is aimed at researchers, media organizations, businesses, and public-sector users who need reliable transcripts and subtitles, including those with accuracy or accessibility requirements that justify human-reviewed output rather than automation alone. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Scriberr is an open-source, self-hosted audio transcription application aimed at people who want to keep recordings and transcripts on their own hardware. It uses the open-source Whisper family of models (via the WhisperX engine) to transcribe audio and video files entirely offline, with no requirement to send data to a cloud provider. The project is distributed under the MIT license and is packaged as a single binary, with a Go backend and a Svelte frontend compiled into the binary, while Python handles the underlying AI transcription. Beyond raw transcription, Scriberr can automatically detect and label different speakers (diarization), generate summaries using custom prompts, and let users chat with a transcript by connecting to Ollama or OpenAI-compatible providers. It includes a transcript reader with playback follow-along and seek-from-text, a built-in audio recorder, note-taking, and a folder watcher plus API endpoints for automation and integration with tools like n8n. The maintainer publicly noted development is paused but not abandoned, and community contributions are welcome; the most recent release at the time of review was v1.2.0 in December 2025. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Amberscript is a free tier with paid upgrades (freemium); Scriberr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Amberscript | Scriberr |
|---|---|---|
| Core capability | Automatic AI transcription of audio and video | Local, offline transcription using Whisper models via the WhisperX engine |
| Standout feature | Human-verified transcript and subtitle option for higher accuracy | Automatic speaker diarization (who said what) |
| Team usage | Subtitle generation and translation services | AI summaries with custom prompts via Ollama or OpenAI-compatible providers |
| Integrations | Transcript editor for reviewing and correcting output | Chat with your transcripts to ask questions and pull insights |
| Languages & capture | Speech-to-text API and meeting transcription support | Built-in audio recorder and note-taking on transcripts |
| Best-fit workflow | Automatic AI transcription of audio and video | Folder watcher and API endpoints for automation workflows |
Amberscript
Choose Amberscript if you need transcribing interviews, research, and media for accurate records — strengths include choice between fast automatic and accurate human-reviewed output.
Scriberr
Choose Scriberr if you need privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure — strengths include fully self-hosted and offline, keeping audio and transcripts on your own hardware.
Amberscript
Scriberr
It depends on your workflow. Amberscript is strong for transcribing interviews, research, and media for accurate records, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
Amberscript is a free tier with paid upgrades and Scriberr is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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