Deepting: Real-time AI transcription and meeting summary app for meetings, interviews, and lectures across mobile and web. Notta: High-accuracy transcription with 42+ language translation 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 Notta when transcribing uploaded audio and video files matters most. Run both through a week of actual calls to see which suits your workflow.
Real-time AI transcription and meeting summary app for meetings, interviews, and lectures across mobile and web.
High-accuracy transcription with 42+ language translation
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
Notta records and transcribes meetings and uploaded audio/video in 58 languages, then generates AI summaries, chapters, and action items. It joins Zoom, Google Meet, Microsoft Teams, and Webex calls and integrates with Salesforce, HubSpot, Notion, Slack, and Zapier. The permanent free plan is limited — 120 transcription minutes per month with a hard 3-minute cap per recording, and no transcript export — so it suits trying the product more than recording full meetings; paid plans lift the caps substantially.
Best suited for
Deepting is a free tier with paid upgrades (freemium); Notta is from $8.17/mo (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Deepting | Notta |
|---|---|---|
| Core capability | Real-time speech-to-text with floating subtitles | 58-language transcription |
| Standout feature | AI summaries, chapter highlights, and key-point extraction | AI summaries |
| Team usage | Transcription and translation across multiple languages | File upload transcription |
| Integrations | Speaker identification and paragraph recognition | CRM integrations |
| Languages & capture | Dynamic highlighting and photo capture during recording | 58-language transcription |
| Best-fit workflow | Mobile and web sync with PDF and TXT export | AI summaries |
Deepting
Choose Deepting if you need recording and summarizing business meetings and seminars — strengths include captures meetings, interviews, and lectures with structured ai summaries.
Notta
Choose Notta if you need multilingual meeting transcription — strengths include transcription in 58 languages — among the widest coverage.
Deepting
Notta
It depends on your workflow. Deepting is strong for recording and summarizing business meetings and seminars, while Notta is strong for multilingual meeting transcription. Both transcribe and summarize meetings.
Deepting is a free tier with paid upgrades and Notta is from $8.17/mo. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
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