Carv: AI assistant for recruiters that records, transcribes, and takes notes during interviews and intake calls, then drafts documents and updates the ATS. 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 Carv when transcribing and summarizing candidate interviews hands-free matters most, and Scriberr when researchers and journalists generating diarized transcripts of recorded conversations matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
AI assistant for recruiters that records, transcribes, and takes notes during interviews and intake calls, then drafts documents and updates the ATS.
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
Carv is an AI platform for recruiters that records, transcribes, and takes notes during interviews, intake calls, and hiring meetings so recruiters can stay present in the conversation rather than typing notes. During candidate interviews it captures a full verbatim transcript, flags any planned questions that went unanswered at the end of the call, and uses the transcript to auto-generate a candidate profile. For intake calls with hiring managers, Carv captures the requirements discussed and can automatically draft a job description in the recruiter's own style and tone of voice. Beyond note-taking, Carv positions itself as an agentic recruiting assistant that takes over repetitive administrative work, from document creation to updating the applicant tracking system, and includes an AI companion that carries context about how the user works. The platform integrates with ATS and HR systems and offers analytics and insights across recruiting activity. By turning recruiting conversations into structured notes, profiles, and documents, Carv aims to cut down on coordination and admin time so recruiters can focus on connecting with candidates and hiring managers. 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
Carv 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 | Carv | Scriberr |
|---|---|---|
| Core capability | Records, transcribes, and takes notes during interviews, intakes, and meetings | Local, offline transcription using Whisper models via the WhisperX engine |
| Standout feature | Full verbatim interview transcription with unanswered-question flagging | Automatic speaker diarization (who said what) |
| Team usage | Auto-generated candidate profiles from interview transcripts | AI summaries with custom prompts via Ollama or OpenAI-compatible providers |
| Integrations | Automatic job description drafting from intake calls | Chat with your transcripts to ask questions and pull insights |
| Languages & capture | ATS and HR system integrations with automated updates | Built-in audio recorder and note-taking on transcripts |
| Best-fit workflow | AI companion that retains context on the recruiter's workflow | Folder watcher and API endpoints for automation workflows |
Carv
Choose Carv if you need transcribing and summarizing candidate interviews hands-free — strengths include captures both candidate interviews and hiring-manager intake calls.
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.
Carv
Scriberr
It depends on your workflow. Carv is strong for transcribing and summarizing candidate interviews hands-free, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
Carv 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.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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