Audio intelligence for focused teams

Keep every spoken idea searchable.

Krasvi is a clean starting point for a transcription SaaS: upload audio, process it with your provider, and persist the transcript in a database without tying the product to one vendor.

First transcript
< 2 min
Supported flow
Audio to notes
Storage model
Postgres-ready

Board meeting audio

38:24 min · English · queued

Processing
speaker diarizationprovider: mock

Transcript

“We need a faster way to turn long conversations into decisions, owners, and reusable context.”

Persistence

  • status: completed
  • language: en
  • storage: Postgres

Product path

A small architecture that can grow.

01

Upload an interview, call, lesson, or voice note.

02

Send it to your chosen transcription provider through one API layer.

03

Save the transcript, metadata, and processing state in your database.

04

Search, reuse, and export the result from one quiet workspace.

Stack

Next.js for the product, adapters for the heavy work.

The repo ships with API boundaries for health checks and transcription jobs. Database and provider credentials are optional until you connect the real services.

Web

Next.js App Router, TypeScript, Tailwind CSS, standalone Cloud Run build.

Transcription

Provider interface with a mock implementation and an HTTP provider slot.

Persistence

Postgres schema and repository wired through DATABASE_URL when ready.