Skavio Meeting vs Skavio Transcribe: choose by the result you need
Skavio Transcribe turns recorded speech into a written record. Skavio Meeting produces a speaker-aware transcript and a structured meeting report. To choose between them, start with what someone needs to read or use afterward—not simply whether the recording is called an interview, lecture or meeting.
1. Define the document you need to hand over
Before processing a recording, identify the intended deliverable. A transcript for editing is a different task from a report that separates decisions, action items and unresolved questions. The recording type alone does not settle the choice: a two-person interview may need speaker attribution, while a group discussion may only need a transcription draft.
- If the brief is “give me the spoken content as text,” start with Skavio Transcribe.
- If the brief is “show who said what and what the discussion led to,” consider Skavio Meeting.
- Treat interviews, lectures and voice recordings as illustrative workflows, not fixed product boundaries.
2. Choose transcription or a speaker-aware report
Transcribe fits work where transcribed speech is the main deliverable—for example, preparing an interview draft for editing or a written record of a training session. Meeting fits work that also needs a structured account of the discussion. Its outputs include a speaker transcript, summary, key points, decisions, action items, open questions and a follow-up draft. Speaker awareness needs one important qualification. As [AssemblyAI’s documentation explains](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers), diarization assigns speaker labels; identifying those speakers by name is a distinct task. Do not treat a speaker label as a verified participant identity. The products’ different workflows do not establish a universal accuracy ranking between them.
3. Check the quote using started minutes
Both products use the shared Skavio company wallet across web processing tools and the Processing API. Under Pricing V2, each started minute counts toward the processing cost. Check the server quote for the actual job rather than treating a manual calculation as the final quote.
- Transcribe: 8 credits per started minute, with a minimum of 8 credits per job.
- Meeting: 15 credits per started minute, with a minimum of 15 credits per job.
- Illustrative calculation: a recording lasting 30 minutes and 1 second spans 31 started minutes. That gives 248 credits for Transcribe or 465 credits for Meeting. This is arithmetic from the published rates, not an actual server quote.
4. Review words, speakers and commitments separately
For either workflow, compare important names, numbers, acronyms and quotations with the recording. For Meeting, add a separate speaker-attribution check. AssemblyAI documents overlapping speech, background noise, echoes and similar voices as diarization challenges, so pay particular attention to interruptions and short contributions. Treat the generated report as a draft, too. [NIST’s Generative AI Profile](https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf) identifies confidently presented false content or content that diverges from the input as a generative-AI risk. This supports checking generated summaries against their sources; it is not a measured Skavio error rate.
- Decisions: distinguish a proposal or preference from something participants actually agreed.
- Action items: confirm the task, owner and deadline where the discussion establishes them. Leave missing details unresolved rather than filling them in.
- Commitments: check that the person listed as responsible for an action actually accepted it.
- Follow-up draft: check its wording and factual claims before sharing it.
5. Prepare the handoff for its reader
For a Transcribe-based workflow, hand over the reviewed transcription draft with any remaining uncertainties clearly noted. For Meeting, keep the speaker transcript available alongside the concise report so readers can check the context behind a decision or action. Meeting supports TXT, DOCX and PDF exports. Choose the format for the next task: TXT for plain-text reuse, DOCX for document editing, or PDF for distribution. An export packages the result; it does not verify the content. Resolve or explicitly flag important ambiguities before sharing, and keep open questions separate from agreed next steps.