Speech-to-text with a reviewable ASR workflow

Turn recordings into searchable, reviewable text with OctOpus. Keep audio and transcripts together, correct important passages, and use the results for analysis or a supported ASR training workflow. Your project connects the original recording, transcription settings, reviewed labels and model results in one place.

Start with your recordings

Upload recordings and choose the available transcription settings for your task. OctOpus keeps the original audio alongside the text so you can replay a passage while reviewing it. Describe the intended use—search, call analysis, subtitles or training—to focus the workflow on the details that matter to you.

Keep multilingual speech in context

Choose a language mode supported by the selected engine, including mixed-language decoding where available. Transcription records speech as spoken; translation is a separate task. Telephone audio uses a combined transcript by default. Explicit stereo mode separates two recorded channels, with channel labels rather than verified speaker identities.

Review the words against the audio

The transcript workspace pairs text with the recording and approximate timestamps. Replay a passage, correct the wording and mark reviewed material deliberately. Machine-generated drafts remain draft labels until reviewed. Focus that review on names, amounts, dates and specialist vocabulary so the resulting dataset reflects the speech you want to recognize.

Adapt a supported ASR model to your domain

Bring recordings and corrected transcripts into a saved training project. For supported configurations, OctOpus checks the requested model and available training path, then records the job and its results. Separate training and evaluation by recording or conversation, and compare the starting and adapted models on the same reviewed material.

Use transcripts in analysis and apps

Explore recurring topics, prepare summaries or build a searchable experience around reviewed transcripts. Keep important findings connected to their source passages for easy follow-up. OctOpus brings this text into the wider project workflow, where you can combine it with other data and build an application for the people who need it.

Example brief for a telephone dataset

“Transcribe these calls as spoken, preserve both languages, and help me review names and amounts before I compare models.” Start with representative recordings, inspect the transcripts together with the audio, then use the reviewed examples to define an evaluation set. The project retains the results for the next iteration.

Key capabilities

• Recordings and transcripts in one review workspace.
• Language and channel settings for the selected engine.
• Corrected labels and separate evaluation recordings for ASR adaptation.
• Transcription and training results connected to your project.