Speech data / STT annotation

STT training data.
Annotation that holds up.

Turn raw audio into training-ready transcripts and annotations. We handle transcription, tagging, and forced alignment through complex workflows built around your specifications.

What we annotate

The details your model learns from.

Speech-to-text annotation depends on consistent decisions about what was said, how it is represented, and where it belongs in the audio. We turn those requirements into managed production work.

01

Transcription & correction

Create human-reviewed transcripts from raw audio or correct machine-generated text. Follow project-specific rules for transcript conventions and ambiguous speech.

02

Project-specific tagging

Apply the annotation categories your training task requires. Give annotators clear definitions and handling rules so the same instruction carries through the dataset.

03

Forced alignment

Align transcripts with the audio and review word or segment timing against the project specification. Resolve text and timing issues through the quality workflow.

Execution & quality assurance

Complex workflows.
Accountable delivery.

Our STT delivery experience includes transcription and forced alignment, with trained contributors, complex annotation workflows, quality review, and adjudication.

  1. 01

    Define the instructions

    Translate the task into transcript conventions, tag definitions, alignment requirements, and acceptance criteria.

  2. 02

    Train & qualify

    Prepare annotators on the project guidelines and qualify them against the work they will perform.

  3. 03

    Manage production

    Coordinate annotation, review, and corrections. Route ambiguous cases for resolution and keep decisions consistent with the instructions.

  4. 04

    Assure quality

    Review the annotations, adjudicate disagreements, and check the delivered structure against your requirements.

What you receive

Your specification.
A finished annotation deliverable.

We manage the path from audio and instructions to reviewed annotations, with delivery organized for your training workflow.

Reviewed transcripts
Text tied to the source audio and prepared to your transcription conventions.
Tags and alignment
Project-defined labels and word or segment timestamps as required by the scope.
Customer-defined schema
Structured annotations in the required format, with source references and the fields your pipeline expects.

Start your annotation project

Bring us the audio.
Tell us what needs annotating.

Share the annotation task, your guidelines or schema, and the delivery requirements. We will help scope the workflow, quality assurance, and finished output.

Scope your STT annotation project