Rev AI

@revai list all transcription jobs from the last week and show me which ones are still processing

Found 12 transcription jobs from the past 7 days. 9 are completed, 2 are in_progress, and 1 failed. The in-progress jobs are: 'team-standup-2024-01-15.mp3' (started 8 minutes ago, 45% complete) and 'client-call-recording.wav' (started 23 minutes ago, 78% complete). The failed job 'podcast-episode-draft.m4a' encountered an unsupported audio format error. All completed jobs are available for transcript retrieval.

This example shows the MCP's ability to query job history and surface status at a glance. Rev AI retains job metadata for 30 days, so older transcriptions won't appear. Requires valid API key with read access to your account's job queue.

@revai get the full transcript for job ID Umx5c6F7pH44 in plain text format and save it to our meeting notes

Retrieved transcript for job Umx5c6F7pH44 (duration: 42 minutes, completed 3 hours ago). The transcript contains 8,347 words with speaker labels and timestamps. Extracted plain text format as requested. Key discussion points include Q1 roadmap priorities, API rate limit adjustments, and the new customer onboarding flow. Transcript saved to your Space for reference and further analysis.

This demonstrates fetching completed transcripts in a specific format (plaintext, JSON, SRT, or VTT). The job must be in 'completed' status—attempting to retrieve a transcript for an in-progress or failed job will return an error. Speaker labels depend on your Rev AI plan tier.

@revai review all completed transcription jobs from this month and summarize the main topics discussed across our team meetings

Analyzed 18 completed transcription jobs from January 2024 (total duration: 9.2 hours). Recurring themes: product launch timeline mentioned in 12 meetings, customer feedback discussed in 8, hiring pipeline in 6, and infrastructure scaling in 5. The most frequent action items were 'finalize pricing model' (appeared 7 times) and 'schedule design review' (appeared 5 times). Three meetings flagged budget concerns; two celebrated milestone completions.

This example pairs Rev AI's transcript retrieval with the AI's reasoning to synthesize patterns across multiple jobs. The MCP fetches raw transcripts; the AI performs the thematic analysis. Useful for retrospectives, but note that Rev AI's 30-day job retention means older meetings won't be included in the summary.

When Rev AI beats manual notes for weekly user calls

A 5-person product team runs 8-12 customer interviews per sprint. They need transcripts searchable across quarters, not just raw audio files in Drive. Rev AI's MCP wins here because the Get List of Jobs tool lets anyone pull the last 30 days of transcripts into a shared context without asking who recorded what. The Get Transcript by ID tool returns JSON, so you can pipe interview quotes directly into feature specs or roadmap docs. The threshold: if your team does fewer than 3 interviews a month, the API key overhead isn't worth it—just use meeting recorder apps with built-in transcription. But at 2+ calls per week, Rev AI keeps the entire interview corpus accessible in Switchy without manual copy-paste. Set it up once, query transcripts forever.

Rev AI for caption workflows when turnaround matters

A 3-person podcast team publishes twice weekly and needs SRT captions for YouTube within 4 hours of recording. Rev AI's Get Captions tool pulls formatted SRT or VTT files the moment transcription completes, so the editor doesn't wait on a third-party dashboard. The Custom Vocabulary tools let you pre-load guest names and niche terms so the transcript doesn't mangle "Kubernetes" into "communities." The trade-off: if your episodes are under 15 minutes and you publish monthly, free-tier tools like Whisper are fine. But at 45-minute episodes twice a week, Rev AI's job queue (visible via Get List of Jobs) keeps production moving without manual file juggling. You'll spend the API cost back in editor hours saved.

When Rev AI's delete tools matter for sensitive audio

A 2-person compliance team reviews 6-10 recorded depositions per month and must purge transcripts after 90 days per data retention policy. Rev AI's Delete Job By ID tool lets you script permanent removal from the vendor's servers, not just your local files—critical when audio contains PII or privileged statements. The Get Job by ID tool confirms deletion succeeded before you log the audit trail. The boundary: if your retention window is "forever" or you're handling fewer than 3 depositions quarterly, simpler transcription tools without API complexity are enough. But when you're juggling active cases and mandatory purges, Rev AI's programmatic delete (plus the Get Account tool to verify API limits) keeps you compliant without spreadsheet tracking. Worth the API key if deletion audits are non-negotiable.