Telli.sh now works as an AI note-taking workspace, not only a translation tool
Telli.sh can now start from a live recording or uploaded audio and turn conversations, lectures, interviews, and presentation reviews into reviewable AI notes.
Telli.sh is no longer only a multilingual transcription and translation tool. The core workflow now supports AI note-taking for meetings, lectures, interviews, presentation reviews, and other spoken work that needs to become a reviewable record.
The product promise is still the same:
Speak freely. Telli.sh organizes the rest.
The difference is that the first user journey is now clearer. A new user can choose whether they are creating a note, translating a live conversation, or preparing a more specific output such as presentation notes or a custom format.
Two ways to create the first note
Telli.sh supports two practical starting points.
The upload path is for audio or video that already exists. A user can upload one recording, review the transcript, and generate a structured note from the source material.
The live recording path is for conversations happening now. A user can start a browser recording, keep the transcript connected to the session, and turn the result into a note after the recording ends.
Both paths now belong to the same note-taking workflow instead of feeling like separate tools.
Note mode is distinct from translation mode
Translation remains important for multilingual teams, but not every session is a translation job.
For a local meeting, class, interview, or presentation review, the better default is note mode. The output should preserve the source, summarize the discussion, and help the user review decisions, follow-ups, risks, and useful details.
For cross-language meetings, translation mode is still available. The user can start from a live recording flow built for translated notes.
Making that choice visible matters. It helps users understand what Telli.sh is doing before they record or upload anything.
Custom formats make notes more useful
Different spoken workflows need different outputs.
A team meeting might need decisions and action items. A lecture might need concepts and examples. An interview might need themes, evidence, and follow-up questions. A presentation review might need slide-level feedback and open issues.
Telli.sh now supports custom note formats in the first-note flow so users are not limited to one generic summary. The default note is still available, but users can move toward the structure their work actually needs.
Presentation notes are also available as a dedicated starting point for slide reviews, rehearsals, and feedback sessions. Instead of forcing presentation feedback into a generic meeting summary, the output can focus on narrative clarity, slide-level issues, open questions, and follow-up edits.
Why this matters
AI note-taking is only useful when the output stays connected to the source. Telli.sh keeps the transcript, recording context, and generated note in one workflow so a user can review the result instead of treating the summary as a black box.
That makes the product useful beyond translation:
- recurring team meetings
- university lectures and training sessions
- customer and user interviews
- local operations reviews
- presentation practice and feedback sessions
- research calls and field notes
The goal is not to replace careful review. The goal is to reduce the distance between a spoken session and a note that can be checked, shared, and reused.
What to try first
Start small. Use one real recording or one short live session.
After the note is created, check the transcript first. Then review the summary, action items, and any custom format output. If the result helps someone understand what happened and what should happen next, repeat the workflow with the next session.
Create your first AI note from an upload