New possibilities.OpenSEP / Journal
A better way to listen to your stems.
What to listen for after separation, and how to find the take that works for your project.
Separate the sounds. Find the words.
Turn any recording into your next great piece of work.
No speaker count to enter. OpenSEP finds the voices automatically.
Four passages read by two narrators, taking turns. Speaker labels and wording come from the recorded OpenSEP engine run. Review important passages against the audio.
Recording sources & changes: Mini LibriSpeech · CC BY 4.0
No speaker count to enter. OpenSEP finds the voices automatically.
Input arrangement · A–EMeet all five voices.
Five real readers in one constructed recording: solo turns, brief interruptions, longer overlaps, then several voices at once. Speaker count was not supplied to the engine. The transcript is its unedited output. This run detected 5 speaker labels. Review wording and speaker boundaries against the recording. Review important passages against the audio.
Recording sources & changes: Mini LibriSpeech · CC BY 4.0
Actual model outputs. Switch tracks without losing your place.
Everything you need to get from a recording
to something you can use.
Pull vocals from a song. Bring dialogue to the front. Choose the result, and let us handle the separation.
Find your soundTurn speech into readable text with timestamps and speaker labels. Review, find a moment, and export.
Find your wordsFiles are used for your task, never for model training. Uploads are deleted after 1 day. Results stay available for 3 days.
A thoughtful defaultSmall tasks. Big projects.
A useful place to start.
Isolate a part for practice, a reference, or your next edit.
Separate dialogue from the sounds around it.
Give interviews, research, and voice notes a written home.
No timeline to learn. No settings to decipher.
Just a clear path to the result you need.
Separate audio or transcribe speech. The next step is always clear.
We check the file and show your place in the queue.
Preview your result, then download the files you need.
What to listen for after separation, and how to find the take that works for your project.
A practical workflow for turning an interview into a transcript you can actually use.
Why uploads and results are temporary, and what that means for your creative workflow.
A song, an interview, a voice memo. Start with what you have.