Transcription workflows
Convert approved recordings into text and review the result against representative accents, vocabulary and recording conditions.
Let’s talk Speech & voice recognition
Make audio useful.
Keep the context.
Turn recordings into transcripts, searchable information and application workflows. Define how people review uncertain words and how audio moves through the system.
Client ratings
Clutch3 reviews
Upwork7 reviews
We partner with
YOUR NEXT CHAPTER
What do you need to hear?
Describe the recordings or voice interaction you have in mind.
Describe the workflow without uploading recordings or including personal information. By submitting, you agree to our privacy policy.
SOFTWARE, WITH PURPOSE.Thoughtfully engineered. Carefully made.
Selected client work
A FOCUSED WAY FORWARD
Evaluate the audio you actually have, not a perfect studio example.
Search and extract from transcripts
Connect transcript passages to search, classification and summaries, retaining the source context for a reviewer.
Voice-enabled experiences
Scope capture, recognition, confirmation and the application action as one user journey.
Deliberate audio handling
Define recording consent, permissions, storage and retention with the people responsible for the workflow.
Related engineering work
From language to a useful workflow.
Our NLP work covers extraction, classification and semantic search. Speech projects add an audio evaluation stage before text enters those workflows.
Explore our NLP approach ↗How we start
One useful release.
A clear way forward.
- 01
Define the audio conditions
Review recording quality, languages, vocabulary and the intended use of the output.
- 02
Compare on a sample
Measure transcription errors and review effort on representative recordings.
- 03
Connect the result
Integrate approved output into the product with permissions and exception handling.
Before we build
A few useful answers.
How do you evaluate speech recognition?
We agree on a representative audio sample and reference transcripts, then compare errors, latency, operating cost and the amount of human correction required.
Can you promise a fixed accuracy before seeing our audio?
No. Recording conditions, speakers and terminology affect the result. A scoped evaluation gives a more useful answer than a universal accuracy claim.
Can the system run in our environment?
Hosting and model choices are part of the assessment. We compare the data-handling requirements, available infrastructure and operational constraints.
CLIENT PERSPECTIVES
Good work.
Real relationships.
Selected feedback from
Clutch and Upwork.
“They have a lot of knowledge in the product space.”
Reviews 1–2 of 8 supporting reviews
Feedback from different Software Sushi projects. Original sources and project types are shown for context.
Explore client reviewsA GOOD PLACE TO START