FWS' API Development Automated Audio Transcription for a Startup in Hong Kong

Case Study on API Development for Audio Transcription

The Client

The client who approached us owned a startup in Hong Kong and dealt primarily with the growth consultancy besides ancillary services.

Client's Requirement

The client, easily overwhelmed and inundated with audio transcription was on the brink of a major bottleneck. They called us to have an API developed to automatically transcribe the audio files into crisp and accurate content in the exact context. They also requested our support in quality assurance to ensure the text was 100% accurate.

Business Challenge

  • While the client contacted us for API development, the underlying issue was facilitating transcription through automation. This required various divisions to work in collaboration.
  • The first stumbling block was uploading the audio onto a server one after another before the text conversion could take place. This was time consuming and lacked quality assurance.
  • The client required us to overcome the inefficient workflow with a smarter approach.

Our Solution

We put the best of our development team behind the project. The solution began with the team leads arranging a brainstorming session to reduce a spectrum of strategies into specific ones that will ultimately become the solution. We learned that the client turned to online apps for proofing, and ended up with a towering pile of pending tasks. Their decisions also flared into further complexities due to shoddy QA. This was our next goal to fix.

We designed an API that populated the audio file and transcribed content side by side on the screen. Further, we designed the interface to allow batch upload of audio files. The final step is to implement moderation tools and security to allow authorized members to have file access.

Technology Stack

Google ASR

The Results

The whole project was underway within days of signing the SLA. The steaming of audio was done on the Amazon server and batch transcriptions were done after which the data went to the QA team. All files were thoroughly analyzed for accuracy. Our API gave the client two options - automated QA and manual check. In both outcomes, the client expressed satisfaction and let us know we did a splendid job.

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