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AI + human-in-the-loop operations

AI transcription and quality-control platform

A role-based transcription operation supporting AI-only, human-only, and AI-assisted delivery, from audio ingestion to a validated, formatted Word document.

Platform foundation

PythonReactAWS TranscribeNeMo ASRSpeech-to-text APIsRole-based accessWord export

The challenge

Transcription is not a single AI request. Audio must be assigned, transcribed, corrected, formatted, proofread, validated, and exported while preserving speakers, timestamps, permissions, and an audit-friendly workflow.

The solution

We built one platform where automated speech engines and trained people work in the same production pipeline. Every unit has a clear status, responsible role, editing environment, quality gate, and delivery format.

End-to-end workflow

How the product moves work forward

  1. 01

    Audio intake

    Upload audio, create work units, capture metadata, and select the required transcription service.

  2. 02

    Engine or human assignment

    Send the unit to AWS Transcribe, NeMo ASR, another supported AI engine, or directly to a human transcriber.

  3. 03

    Transcript enhancement

    A transcriber edits the draft while listening to synchronized audio using custom keyboard playback controls.

  4. 04

    Proofreading

    A proofreader validates language, formatting, speaker labels, and transcript completeness before approval.

  5. 05

    Delivery

    Export to Word with or without bold, underline, speaker formatting, and other document styling.

Detailed capability map

What was designed into the platform

Three production modes
  • Fully AI transcription using AWS Transcribe
  • Human transcription from the original audio
  • AI + human enhancement using NeMo ASR and supported third-party services
Purpose-built editor
  • Rich-text formatting
  • Spell-check and correction suggestions
  • Custom dictionaries
  • Custom playback and editing shortcuts
  • Speaker creation, naming, and management
Collaboration and control
  • Role-based access
  • Admin, edit, and view-only permissions
  • Shared transcript collaboration
  • Unit assignment and status tracking
  • Proofreading and validation gates
Playback and export
  • Keyboard-controlled audio playback
  • Efficient listen-and-type workflow
  • Word document export
  • Optional preservation of bold and underline formatting
  • Structured speaker output

Roles and permissions

The right workspace for every participant

Permissions support the real operating model instead of giving every user the same controls.

Administrator

Manages users, work units, assignments, permissions, engines, and delivery status.

Transcriber

Creates a human transcript or enhances an AI-generated draft using the custom editor.

Proofreader

Reviews completed units, corrects issues, and validates the transcript for final delivery.

Viewer

Can securely review a shared transcript without changing its content.

Operational value

  • Combines multiple transcription services in one operational workflow
  • Keeps human quality control where AI confidence is not enough
  • Reduces switching between audio players, text editors, and assignment tools
  • Creates a repeatable path from raw audio to approved delivery

Growth opportunities

  • AI confidence highlighting
  • Terminology libraries by client
  • Quality scoring by unit and transcriber
  • Automatic speaker diarization review

Build on this experience

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