Local transcription for confidential meetings

One letter, a different project

Say a recording of an internal project meeting has been approved in line with the company's rules. In the conversation someone mentions the project code P14. The working transcript, however, says B14. The person checking the text opens the matching part of the recording, plays the statement back and corrects the code before the text goes to the team.

A useful app links the text to the audio at exactly that point. The reviewer does not have to search the whole file for the statement. They can read the surrounding sentences, go back to the audio and keep the correction. They get material for further work in which the company's names and codes have been checked by a person who knows the conversation.

What a company buys beyond speech recognition

Syntalith can prepare an app for local transcription and checking of recordings. The proposed scope combines taking in an approved audio file, turning speech into text and a view for playback and correction. It also covers where the checked transcript is kept and how it is shared with named people.

The recording may come from an approved meeting platform or a tool used in the meeting room. The team agrees how the file reaches the app and who starts the processing, in line with the company's rules on recording and informing participants.

Speech recognition itself can run locally. The whisper.cpp project documents running speech recognition on the device, including offline work. That capability is the starting point for an app; the quality of the transcript of company conversations and the ease of correction have to be judged on your own material.

Transcription of confidential meetings needs a reader who knows the conversation

For the trial you need recordings approved for this use, from the team's typical meetings. The assessor will see how much work Polish surnames, abbreviations and project codes take. Passages with a quiet microphone or overlapping voices are worth looking at separately: can they be played back and corrected, or do you have to leave a note that the statement is unclear?

Splitting the text into statements does not have to establish who spoke. If the team needs names next to statements, confirming them has to be agreed separately. The reviewer should be able to leave a statement unattributed instead of accepting an uncertain name.

When you compare with the current way of working, what counts is the time to a checked text, including playback and corrections. A transcript generated quickly may still need long editing. Such a comparison shows whether the app makes the job easier for a specific person on the chosen hardware.

A finished record of the conversation can later be used to prepare a summary. That is separate work, which needs the meaning of the statements to be understood. The transcription scope does not include automatically writing decisions or a list of the participants' commitments.

First check the tool you use for meetings

If the approved meeting platform already creates a transcript, lets you play back the source and share the corrected text with the right people, compare what it can do with a separate app. The team may not need an extra place for recordings. For rare, short conversations, manual notes may be enough when a full record of the statements is not needed.

Your own solution is worth considering when the company requires local processing, or when correcting and sharing the current result means moving files between tools. The decision should cover the whole job from receiving the recording to sharing the checked text.

Local processing does not remove the need to settle where the audio and the transcripts stay. You need to agree with the administrator on access to the files, their backups and the retention period, and on who is responsible for updating the app. The text holds the content of the meeting just as the recording does, so it should follow the agreed way of handling these materials.

The work after the text is ready is described in the offer for AI meeting notes: reviewing what was agreed, corrections and handing over approved tasks.

The first scope to assess

The work can start with one type of meeting, a person who knows the content of the conversations and the administrator of the environment. The first judges the accuracy of the transcript and the correction effort; the second settles how material is taken in, stored and passed on. A comparison with the approved tool shows which parts of the process need a separate app and what support it will need.

Tell us about a statement the team recently had to go back to and what made it hard to find or record. That lets us discuss transcription together with the work of the person who checks it. Pricing information is on the pricing page.

What local meeting transcription costs and when it pays back

Where to start

In the free process review we choose one task and 20 to 100 documents the team has already worked on, and within 2 working days you get a written summary with a price. We roll out the local model as part of private LLMs, and the app around it as an AI app.