Deepting: Real-time AI transcription and meeting summary app for meetings, interviews, and lectures across mobile and web. 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 Deepting when recording and summarizing business meetings and seminars matters most, and Scriberr when researchers and journalists generating diarized transcripts of recorded conversations matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
Real-time AI transcription and meeting summary app for meetings, interviews, and lectures across mobile and web.
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
Deepting is an AI transcription and meeting recorder that converts speech to text in real time and automatically generates structured notes and summaries. Available as a mobile app with a companion web platform for editing, it offers live voice-to-text conversion with floating subtitles, AI-generated summaries, chapter highlights, and key-point extraction to help users quickly organize and review what was said. Deepting supports transcription and translation across multiple languages, working from live audio or uploaded files, and includes speaker identification and paragraph recognition to produce well-structured, readable transcripts. Users can mark important moments with dynamic highlighting during recording and capture or insert photos alongside transcriptions for more complete records, then export transcripts in formats such as PDF and TXT for sharing and archiving. Recordings sync between mobile and web so a meeting captured on a phone can be edited later on a larger screen. The product, developed by a European company, is presented as an actively available tool on app stores and is aimed at business meetings, seminars, lectures, media and job interviews, market research, and language learning. 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
Deepting 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 | Deepting | Scriberr |
|---|---|---|
| Core capability | Real-time speech-to-text with floating subtitles | Local, offline transcription using Whisper models via the WhisperX engine |
| Standout feature | AI summaries, chapter highlights, and key-point extraction | Automatic speaker diarization (who said what) |
| Team usage | Transcription and translation across multiple languages | AI summaries with custom prompts via Ollama or OpenAI-compatible providers |
| Integrations | Speaker identification and paragraph recognition | Chat with your transcripts to ask questions and pull insights |
| Languages & capture | Dynamic highlighting and photo capture during recording | Built-in audio recorder and note-taking on transcripts |
| Best-fit workflow | Mobile and web sync with PDF and TXT export | Folder watcher and API endpoints for automation workflows |
Deepting
Choose Deepting if you need recording and summarizing business meetings and seminars — strengths include captures meetings, interviews, and lectures with structured ai summaries.
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.
Deepting
Scriberr
It depends on your workflow. Deepting is strong for recording and summarizing business meetings and seminars, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
Deepting 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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