Crystal-clear AI transcription with speaker diarization
Every word captured. Every speaker identified. Notemesh delivers accurate, timestamped transcripts with automatic speaker labels — so you always know who said what, when.
How it works
Bot joins your meeting
When your scheduled Zoom, Google Meet, or Teams meeting begins, Notemesh's AI assistant joins automatically. It appears as a named participant so everyone knows the meeting is being recorded. No plugins, extensions, or downloads required from any attendee.
High-quality audio capture
The bot captures audio from every participant in the call using platform-native APIs. Audio is streamed in real time to our processing pipeline, ensuring no gaps or dropouts even in meetings that last several hours.
Deepgram AI processing
Audio is processed through Deepgram's Nova-2 speech recognition model with speaker diarization enabled. The AI identifies individual speakers, separates overlapping speech, and generates word-level timestamps for precise navigation.
Speaker-labeled transcript delivered
Within minutes of your meeting ending, you receive a complete transcript with each segment labeled by speaker, timestamped to the second. Click any timestamp to jump to that moment in the recording. Rename speakers with a single click to replace generic labels with real names.
Key benefits
Industry-leading accuracy
Deepgram's Nova-2 model consistently delivers 90-95% accuracy on professional meeting audio. This is not a generic speech-to-text engine — it is purpose-built for conversational audio with multiple speakers, interruptions, and natural speech patterns. Names, technical jargon, and acronyms are handled with contextual understanding that improves over time.
30+ languages supported
Whether your team speaks English, Spanish, French, German, Japanese, Korean, Mandarin, Portuguese, Hindi, Arabic, or any of the other supported languages, Notemesh produces accurate transcripts. Multilingual meetings are handled gracefully, with language detection applied per speaker segment when needed.
Click-to-rename speakers
Diarization labels speakers as "Speaker 1," "Speaker 2," and so on by default. Notemesh lets you rename any speaker with a single click, and the name propagates throughout the entire transcript. For recurring meetings, Notemesh learns speaker voices over time and can auto-assign names based on previous meetings with the same participants.
Full-text search across all meetings
Every transcript is indexed for full-text search with weighted relevance scoring. Search for a phrase, a speaker's name, or a topic and instantly find every meeting where it was discussed. Results include surrounding context and clickable timestamps that jump to the exact moment in the recording.
Precise timestamps and navigation
Every utterance in the transcript is timestamped to the second. Click any timestamp to jump to that exact moment in the audio or video recording. This makes it trivial to verify a quote, review a contentious discussion, or share a specific moment with a colleague by linking directly to the timestamp.
Use cases
Legal and compliance
Regulated industries need accurate records of what was discussed and agreed. Notemesh transcripts serve as verifiable meeting minutes with speaker attribution and timestamps. Export transcripts as formatted documents for compliance archives, audit trails, or legal proceedings.
Sales call review
Review sales calls to understand objection patterns, identify winning talk tracks, and coach reps with specific examples. Search across all client calls for mentions of competitors, pricing discussions, or commitment language. Build a playbook from your best performers' actual words.
Training and documentation
Turn training sessions, workshops, and onboarding calls into searchable reference material. New team members can search transcripts instead of asking the same questions repeatedly. Knowledge transfer becomes automatic — every explanation given in a meeting is preserved and findable forever.
Frequently asked questions
How accurate is the transcription?
Notemesh uses Deepgram's Nova-2 model, which delivers industry-leading accuracy rates of 90-95% on clear audio. Accuracy depends on audio quality, speaker clarity, and background noise. For meetings with professional microphones and minimal crosstalk, accuracy regularly exceeds 95%.
What languages does Notemesh support?
Notemesh supports over 30 languages through Deepgram, including English, Spanish, French, German, Portuguese, Japanese, Korean, Mandarin, Hindi, Arabic, and many more. Language detection can be automatic or manually specified per meeting.
Can I edit transcripts after they are generated?
Yes. Every transcript is fully editable after generation. You can correct misheard words, fix speaker names, add punctuation, and merge or split speaker segments. Edits are saved immediately and reflected in summaries and search results.
How does Notemesh handle meeting privacy?
When the Notemesh bot joins a meeting, all participants see it listed as an attendee. Recordings and transcripts are stored securely in your private account and are never used to train AI models. You control who can access each meeting's data, and recordings can be auto-deleted after a configurable retention period.
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