Transcriptor

Demo

Transcriptor Screenshot

Problem

Audio and video content needs to be converted into searchable, reliable text artifacts for accessibility and downstream indexing. Naive transcription runs often fail mid-job or produce inconsistent outputs that are difficult to validate and resume.

Approach

Designed an artifact-based transcription pipeline that treats intermediate outputs as first-class build products
Implemented resumable job tracking with explicit stage boundaries to recover from partial failures without restarting
Engineered deterministic, repeatable outputs to support downstream indexing and automated post-processing
Added validation and guardrails around stage transitions to prevent silent corruption in stored artifacts

Results

Produced consistent, deterministic transcription artifacts suitable for indexing and search
Eliminated full-job reprocessing by resuming from the latest valid artifact boundary after failures
Maintained predictable processing behavior across long-running transcription workloads

Tech Stack

Artifact-based pipeline, resumable job tracking, deterministic outputs, validation boundaries