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TranscribeNext

AI transcription for audio, video & meetings — 99% accurate, 99+ languages

Visit TranscribeNexttranscribenext.com
fromFree, paid from €8.33/moFree planFree trialSan Francisco
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Overview

TranscribeNext is an AI transcription platform that turns any audio or video into accurate, searchable text. Upload MP3, WAV, MP4, M4A and 15+ other formats (up to 5 GB), paste a link from YouTube, TikTok, Instagram or X, import from Google Drive or Dropbox, record straight in your browser, or let the bot auto-join your Zoom, Google Meet and Microsoft Teams calls from your calendar.

Transcription runs on OpenAI Whisper with up to 99% accuracy on clear audio, automatic language detection across 99+ languages, word-level timestamps you can click to replay, and automatic speaker labels for up to 20 voices. A 2-hour recording is typically ready in about 10 minutes — roughly 12x faster than real time.

From there you can generate an AI summary with key points and one-click action items, chat with the transcript to ask follow-up questions, and translate it into 30+ languages. The built-in editor handles search and replace, speaker renaming and timestamp sync, and you can search inside and across your whole transcript library. Export to DOCX, PDF, TXT, SRT, VTT and JSON, or send transcripts to Notion, Google Drive and Slack. A macOS desktop app records system audio and microphone together, and Business adds a shared team workspace for up to 10 seats.

It is mainly used by founders and small businesses, sales teams, recruiters and HR, consultants and agencies, customer success teams, and UX and market researchers who need meeting notes, follow-ups and interview recaps without retyping anything.

Short description

TranscribeNext is an AI transcription tool that turns audio, video, social links and Zoom, Meet or Teams calls into searchable, speaker-labelled text in 99+ languages. Powered by OpenAI Whisper: a 2-hour file in ~10 minutes, plus AI summaries, action items and 6 export formats. Free plan, no card.

Key Features

  • Powered by OpenAI Whisper: up to 99% accuracy on clear audio, with automatic language detection across 99+ languages
  • Automatic speaker labels for up to 20 voices, plus word-level timestamps you can click to jump straight to that moment in the audio
  • About 12x faster than real time: a 2-hour recording is typically transcribed in around 10 minutes
  • Meeting recorder bot auto-joins Zoom, Google Meet and Microsoft Teams calls from your calendar (Pro and Business)
  • Import from YouTube, TikTok, Instagram, X, Google Drive and Dropbox, or upload MP3, WAV, MP4, M4A and 15+ other formats up to 5 GB
  • AI summaries with key points and one-click action items, plus chat with your transcript for follow-up questions (Business)
  • AI translation of finished transcripts into 30+ languages
  • Built-in editor with search and replace, speaker renaming and timestamp sync, plus search inside and across your whole transcript library
  • Export to DOCX, PDF, TXT, SRT, VTT and JSON, or send transcripts to Notion, Google Drive and Slack
  • macOS desktop app records system audio and microphone together; SOC 2 certified, GDPR-compliant, 256-bit encryption in transit and at rest

Who Is It For

Best for

Founders, sales, recruiting, consultants, CS and UX teams that need speaker-labelled meeting transcripts, AI summaries and action items right after a call.

Not for

Teams needing certified human transcription, guaranteed accuracy on noisy audio, or on-prem/self-hosted processing. No Windows or Linux desktop app yet.

Strengths & Weaknesses

Strengths
Easy to useFast performanceExcellent value for moneyAI features that actually helpEasy data export
Weaknesses
Limited free planLocks features behind higher tiersNo self-hosting option

Classification

Competitors
OtterRevDescriptTrintSonix

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Community

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How we sourced this: Observed fields () were crawled from https://transcribenext.com/ and are stated as fact. AI-inferred fields () were generated by gpt-4o-mini and are always labelled – never presented as measured fact. Founder-edited fields () have been corrected by the verified owner. Last updated: 12 August 2026.