Carv: AI assistant for recruiters that records, transcribes, and takes notes during interviews and intake calls, then drafts documents and updates the ATS. OpenTranscribe: Self-hosted, containerized web app for transcribing and analyzing audio/video with WhisperX, speaker diarization, search, and collaboration. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Carv when transcribing and summarizing candidate interviews hands-free matters most, and OpenTranscribe when collaborative review of transcripts with time-stamped annotations 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.
Self-hosted, containerized web app for transcribing and analyzing audio/video with WhisperX, speaker diarization, search, and collaboration.
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
OpenTranscribe is a self-hosted, containerized web application for transcribing and analyzing audio and video files using current AI models. It is built with a FastAPI backend, a Svelte/TypeScript progressive web app frontend, and a Docker-based stack that includes PostgreSQL, Redis/Celery task queues, MinIO object storage, and OpenSearch for full-text indexing. Transcription is handled by WhisperX with the large-v3-turbo model and Faster-Whisper, supporting more than 100 languages, while automatic speaker diarization uses PyAnnote v4 with overlap detection. The project is licensed under AGPL-3.0 and is actively maintained, with v0.4.1 released in April 2026. Beyond transcription, OpenTranscribe provides AI-powered summarization (including BLUF-format and custom JSON schemas), topic extraction, and content analysis through multiple LLM providers such as OpenAI, Claude, vLLM, Ollama, and OpenRouter. Collaboration features include time-stamped comments and annotations, and the platform can automatically import media from local folders, S3, and SMB shares. It also supports a set of cloud ASR providers as alternatives to local transcription, giving teams flexibility between fully local processing and managed services while keeping the application running on their own infrastructure. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Carv is a free tier with paid upgrades (freemium); OpenTranscribe is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Carv | OpenTranscribe |
|---|---|---|
| Core capability | Records, transcribes, and takes notes during interviews, intakes, and meetings | WhisperX transcription with large-v3-turbo and 100+ language support |
| Standout feature | Full verbatim interview transcription with unanswered-question flagging | Automatic speaker diarization via PyAnnote v4 with overlap detection |
| Team usage | Auto-generated candidate profiles from interview transcripts | Full-text search and filtering powered by OpenSearch |
| Integrations | Automatic job description drafting from intake calls | AI summarization, topic extraction, and content analysis via multiple LLM providers |
| Languages & capture | ATS and HR system integrations with automated updates | Time-stamped comments for collaboration and annotation |
| Best-fit workflow | AI companion that retains context on the recruiter's workflow | Auto-import from local folders, S3, and SMB shares |
Carv
Choose Carv if you need transcribing and summarizing candidate interviews hands-free — strengths include captures both candidate interviews and hiring-manager intake calls.
OpenTranscribe
Choose OpenTranscribe if you need teams self-hosting a searchable archive of transcribed meeting and media recordings — strengths include fully self-hosted web app with a complete transcription-and-analysis stack.
Carv
OpenTranscribe
It depends on your workflow. Carv is strong for transcribing and summarizing candidate interviews hands-free, while OpenTranscribe is strong for teams self-hosting a searchable archive of transcribed meeting and media recordings. Both transcribe and summarize meetings.
Carv is a free tier with paid upgrades and OpenTranscribe 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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