Enterprise AI Audio Analytics - Case Study
Enterprise AI Audio Analytics

Enterprise AI Audio Analytics

2 month
2 specialists
AI

Project Overview

TranscribeAI is a cloud-based platform that lets you: Upload video or audio in any format Generate highly accurate subtitles in 98 + languages Detect speakers and precise timecodes Share transcripts via link or export to SRT/VTT Track key metrics in a dashboard—file count, cost savings, team engagement Tech stack: Whisper API, React, Tailwind, AWS Lambda Ideal users: production studios, HR teams, product organizations, and academia Pricing: free for up to 90 minutes per month, then subscription-based

Technology Stack

JavaScript

JavaScript

Python

Python

React

React

AWS

AWS

Application Showcase

Challenge

  • Provide accurate, multi-language transcription/subtitling from mixed audio/video sources, with speaker detection and precise timecodes suitable for downstream editing/search.
  • Enable frictionless sharing and export (links, SRT/VTT) so cross-functional teams can review and distribute outputs without extra tooling.
  • Expose operational metrics (file counts, cost savings, team engagement) to track adoption and ROI while keeping the system simple to operate.

Our Solution

  • Delivered TranscribeAI, a cloud-based platform built with a React + Tailwind front end and serverless jobs on AWS Lambda that accept uploads in “any format.”
  • Core pipeline uses the Whisper API for ASR with 98+ language coverage; post-processing aligns speaker diarization and timecodes, and emits SRT/VTT alongside a web transcript viewer.
  • Collaboration layer supports share-by-link plus a lightweight analytics dashboard surfacing file volume, cost savings, and team activity.
  • Delivered by a focused team (2 specialists) over ~2 months, keeping implementation lean while production-ready.

Results

  • Hours of audio/video become searchable, shareable transcripts with reliable speaker labels and frame-accurate timecodes; subtitles export cleanly to SRT/VTT.
  • 98+ language support broadens the addressable user base (studios, HR, product orgs, academia) without custom per-locale work.
  • Stakeholders get clear ROI visibility via dashboarded file counts, cost savings, and engagement metrics; simple pricing (free up to 90 minutes/month, then subscription) lowers adoption friction.

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