Siesta Updates Jan 29, 2026

Siesta AI Recordings: From Audio to Transcript

Siesta AI Recordings: From Audio to Transcript

We are introducing Recordings in Siesta AI: a module that lets you capture audio, store it centrally, and automatically generate a transcript you can reuse in agents, workflows, and analytics. The practical win is that conversations stop living in scattered tools and personal note systems, and become an auditable input your teams can actually work with. For enterprise teams, this closes a common gap between “we talked about it” and “we can prove what was agreed, and use it downstream without rework”.

Capture audio in the way your team actually works

Recordings supports two straightforward paths: you can upload an existing audio file, or you can record audio directly when the context is fresh. That second option matters more than most teams expect. High-value insights often show up immediately after a call, during a site walk-through, or in a quick debrief between two people, and they get lost because capturing them requires extra apps and later cleanup. When recording happens right where you already do the rest of your work in Siesta, you capture more of the raw signal and less of the reconstructed version written hours later.

Once the recording is added, Siesta processes it and generates a transcript automatically. The point is not to create another transcript document, it is to make the transcript available inside the same environment where teams already run knowledge workflows and follow-ups.

Manage recordings with operational visibility

The Recordings overview gives you a single place to manage what has been captured, with the metadata teams need to stay organized: title, creation time, type, duration, and processing status. Those statuses make it clear whether something is waiting, being transcribed, or already finished, which matters when recordings become a dependency for handovers, escalations, or internal reviews. Search is built in, and this is where adoption usually gets decided, if people can find the source in seconds, they stop re-running the same conversations and stop relying on “who remembers what”.

Review, verify, and reuse with the transcript next to the audio

Each recording has a detail view that combines playback controls, clear metadata, and the transcript once processing completes. This is designed for real operational use: if a stakeholder questions a summary, a decision, or a promised follow-up, you can go back to the source, jump to the relevant timestamp, and confirm the wording. The non-obvious benefit is governance. Storing the original audio and transcript together reduces ambiguity in escalation paths and makes internal alignment easier, especially when teams change, projects run long, or decisions have compliance impact.

Where Recordings fits: from conversations to execution

Recordings is suitable for meetings, calls, interviews, mobile captures, and voice notes, but the higher-value use is when those conversations become inputs to action. Support teams can use transcripts to ensure consistent internal summaries after escalations. Consulting and delivery teams can reduce handover friction because the source conversation remains available, not just a rewritten brief. Operations teams can capture frontline feedback as it happens, then reuse it later when improving SOPs or analyzing recurring issues. The result is less context loss, fewer repeat discussions, and faster follow-through because the source material is easy to find and reference.

How to start with Siesta AI Recordings

Open Recordings, click Add Recording, choose whether you want to upload audio or record it directly, then wait for the status to show the transcript is ready. Learn more here: https://siesta.ai/recordings

Enjoy this post? Join our newsletter
Don't forget to share it

The Enterprise AI Platform

Empower your company with AI chat, search, agents, workflows, and recordings, all in one secure platform.

ISO 27001 | GDPR | SSO | Encryption
AI Chat AI Search AI Agents Recordings Workflows Memory Tasks Skills Approvals
OpenAI Google Gemini Anthropic Claude Mistral Model agnostic | EU EU hosted

Related Articles

All posts