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opened 2026-06-05 14:51:15 -04:00 by yindo
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Reference: Mintplex-Labs/anything-llm#4976
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Originally created by @cwatl on GitHub (Mar 18, 2026).
Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/5224
What would you like to see?
The live transcription feature is working beautifully - and quickly. But then the transcript disappears while the local LLM takes a minute or two to generate a summary that I don't want. And only then am I able to see the transcription again.
Can we have an option to toggle the summary and q&a aspects off for if we only want the transcription and don't want to have to wait around for it?
@timothycarambat commented on GitHub (Mar 18, 2026):
Hm, would exposing this as an api endpoint suffice? The intended purpose of the MA is for transcription/summary/tools
If we made a backend API for this, would that work for your use case? It seems you want the transcript for some specific output or use somewhere else?
@cwatl commented on GitHub (Mar 18, 2026):
I'm not sure if an API would meet my needs. I need the transcript as step one in a process where step two is much more complex than just a summary. There are many use cases where a transcript is an important element and an general AI summary isn't needed. Having that compute-intensive and time-intensive aspect that runs even when unneeded is the challenge for my usecase.
@timothycarambat commented on GitHub (Mar 18, 2026):
Are you intending to just basically put the transcript directly into the chat? If so, we are already planning to use the transcription engine for audio uploads in the main application.
It sounds like thought you just need a UI to drag and drop stuff in an get a simple transcription, no fuss or API and then you copy that from AnythingLLM to your next step?
I think we can make something here like a toggle to "automatically process meetings" that is default on, but turning it off just does the transcript?
@cwatl commented on GitHub (Mar 18, 2026):
Yes, that would meet my needs exactly - and it's what similar applications tend to do in my experience, whether locally hosted or cloud based.
Essentially yes - though I'll be recording from within AnythingLLM rather than dropping something in. And ideally there's an option for the audio not to be saved.
For my workflow, I have a Python script that targets a batch of transcripts directly where the files are stored -- it grabs one, serves it to LMStudio, waits for it to process, captures the output, deletes the transcript, and then repeats until the batch is fully processed - and in the end writes all of the outputs to a text file.
But that's just automating what in the past I would do with copying and pasting the way you described. I'm in an industry where many people will have my use case (psychology), and I anticipate most of them will simply copy and paste. I'm trying to educate mental health professionals and testing psychologists on the benefits of local LLMs rather than the big cloud services - and step one is a local way to record/listen to and transcribe audio in near real time.
@cwatl commented on GitHub (Mar 18, 2026):
I should add that things seem to bug out after about 30 minutes of recording/transcribing. It stops showing new transcript content in the live transcript process and then, once concluded, it just hangs showing processing indefinitely. I waited ~30 minutes before giving up (even when on CPU only my computer will usually summarize a 60-minute meeting much faster than that). Not sure if it's just the audio transcription process overrunning something or if it's the summary element. Usually my meetings are about an hour and amount to ~12k to 18k tokens.