Who should use the Transcribe Audio workflow?
Teams or solo builders working on work tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Work
A streamlined workflow to capture meeting audio, transcribe it, refine the text, and export the final transcript using dedicated AI tools.
Deliverable outcome
A finalized, export-ready transcript file in the desired format.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
A finalized, export-ready transcript file in the desired format.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Fellow.app to a clean, complete audio file ready for transcription. Then, you pass the output to Sonix to a raw, unedited text transcript of the meeting. Then, you pass the output to Speechnotes to a polished, accurate transcript with proper formatting. Then, you pass the output to Otter.ai (by AISense) to a navigable transcript with clear speaker attribution and time references. Finally, Otter.ai (by AISense) is used to a finalized, export-ready transcript file in the desired format.
Capture High-Quality Meeting Audio
A clean, complete audio file ready for transcription.
Transcribe Audio with AI
A raw, unedited text transcript of the meeting.
Refine Transcript for Accuracy
A polished, accurate transcript with proper formatting.
Add Timestamps and Speaker Labels (Optional)
A navigable transcript with clear speaker attribution and time references.
Export Final Transcript
A finalized, export-ready transcript file in the desired format.
Use a dedicated recording app (e.g., Otter.ai, Rev Voice Recorder) or a hardware recorder to capture the meeting audio. Position the device close to speakers and minimize background noise. Ensure the recording is saved in a common format (MP3, WAV, M4A) for compatibility.
Why Fellow.app: Fellow.app is designed for meeting recording, which directly matches the need to capture high-quality meeting audio.
Upload the audio file to a dedicated AI transcription service (e.g., Whisper, Rev AI, Sonix). Select the language and speaker count if available. Wait for the automated transcription to complete, then download the raw text output.
Why Sonix: Sonix is a dedicated AI transcription service that directly matches the need for audio transcription.
Review the raw transcript against the original audio, correcting misheard words, filler words, and speaker misattributions. Use a text editor or built-in editor in the transcription tool. Focus on technical terms, names, and numbers that AI often gets wrong.
Why Speechnotes: Speechnotes provides speech-to-text conversion and audio transcription, which can be used to refine a transcript by re-transcribing or editing.
If the transcript will be used for reference or editing, insert timestamps at regular intervals (e.g., every 30 seconds) and label each speaker. Many AI transcription tools auto-generate these; manually verify and adjust for clarity.
Why Otter.ai (by AISense): Otter.ai provides real-time multi-speaker transcription with speaker labels and timestamps, directly fulfilling this step.
Choose the desired export format (e.g., TXT, DOCX, PDF, SRT) based on your use case (sharing, archiving, subtitles). Download the file and optionally save a backup to cloud storage. Verify the export contains all corrections and formatting.
Why Otter.ai (by AISense): Otter.ai has an export feature that allows users to download transcripts in various formats.
§ Before you start
Teams or solo builders working on work tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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