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  • Speech recognition
  • Transcription
  • AI SaaS
  • AI Solution
  • Custom AI integration
  • API development

AI Video-to-Text Transcription Platform

A custom AI video-to-text transcription platform built to help users upload video files, receive AI-generated transcripts, and manage transcription minutes through a simple pay-as-you-go flow. The platform combines video upload, multilingual transcription, speaker labels, timestamps, email delivery, and Stripe-based minute payments in one web product.

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Overview

Quick overview: key aspects of our work - discover the essentials of our project

Industry

Language Technology

Country

United Kingdom

Solution type

AI Transcription SaaS, Asynchronous Processing, Usage-Based Billing

Services

Custom Web Development, AI Solutions Development, System Integrations

About the client

Understanding our client: specifics, challenges, and custom solutions

WordWave is an internal WebMagic product in the AI transcription and language technology domain. The product is positioned for creators, teams, educators, podcasters, journalists, and other users who work with spoken content across videos, interviews, meetings, lectures, and podcasts.


Problem

Users who work with podcasts, interviews, meetings, lectures, and video recordings often need a simple way to turn spoken content into usable text without being forced into a subscription-only transcription model. The challenge was to create a web-based transcription product that could keep the user flow simple while supporting account access, minute-based usage, payment logic, and transcript delivery.
The product also had to address privacy expectations around uploaded media and generated transcripts. Video files and transcription results needed to be used only for processing and delivery, then automatically removed after the transcript was sent to the user by email, so users would not have to manage file cleanup manually.
Behind this user-facing flow, the system required an asynchronous processing structure that could handle large media files, track transcription progress, deliver results, and remove temporary files without exposing technical complexity to the user.

Solution

Our team developed an AI video-to-text transcription platform around a simple product flow: upload a video, select the spoken language, start transcription, and receive the transcript by email.
The platform was structured around temporary media processing and privacy-conscious file handling. Uploaded videos and generated transcript files were used only for transcription and delivery, then automatically removed after the transcript was sent to the user. Payment data was handled through Stripe Checkout, so the platform did not store or process bank card details directly.
The engineering logic was built around asynchronous transcription processing. The frontend prepared the uploaded media, the backend created transcription tasks, and a separate processing layer handled AI transcription jobs with WhisperX. Task status updates and callback logic connected the processing workflow back to the web application, allowing larger media files to be processed without blocking the user-facing experience.
The product also included lightweight access and usage logic: Magic Link and Google Sign-In for account access, minute-based transcription balance, welcome minutes, and paid top-ups. These elements supported a pay-as-you-go transcription model without turning the product into a subscription-heavy SaaS.

Key features

Project features overview: essential enhancements and strategic solutions

  • feature

    Speaker Diarization and Attribution

    The platform supports speaker labels in generated transcripts, helping users distinguish who said what in interviews, meetings, podcasts, lessons, and other multi-speaker recordings.
    This makes the transcript easier to review, quote, repurpose, and use in content production workflows where speaker attribution matters.
  • feature

    Timestamped Transcript Output

      WordWave adds timestamps to transcript output, allowing users to connect spoken content back to the exact moment in the original video or audio file.
      This supports practical editing workflows such as subtitle preparation, podcast review, interview analysis, content repurposing, and video post-production.
    • feature

      100+ Languages and Auto Detection

      The platform supports multilingual transcription across 100+ languages, with automatic language detection and manual language selection available in the upload flow.
      This makes the product suitable for creators, educators, journalists, teams, and international users who work with spoken content in different languages and need transcripts that remain usable across multilingual workflows.
    • feature

      Flexible Transcript Export Formats

      Users can receive transcript output in practical text-based formats for review, editing, and reuse across other tools. The product flow accounts for formats such as TXT and JSON, with subtitle-oriented SRT/VTT formats referenced for subtitle workflows where available.
      This keeps transcripts useful beyond the platform itself, including content repurposing, documentation, editing, subtitle preparation, and structured data workflows.
    • feature

      Privacy-Conscious File Handling

      Uploaded videos and generated transcripts are used for processing and delivery, then automatically removed after the transcript is sent to the user by email.
      This supports a temporary-processing model where the platform handles transcription without turning user-uploaded media or transcript files into long-term stored content.
    • feature

      Mobile and Desktop Web Access

      WordWave works through a browser-based interface, allowing users to upload files and start transcription from desktop or mobile without installing a separate app.
      The responsive web experience keeps the transcription flow accessible across devices while maintaining a simple path from upload to transcript delivery.

    Result

    Performance Showcase: Unveiling the Results of Our Collaborative Endeavors

    WordWave became a structured AI transcription SaaS product that connects a simple video-to-text user experience with the backend logic needed for temporary media processing, AI transcription, email delivery, and usage-based access.
    For WebMagic, the project provided a practical showcase of AI product development in the language technology domain. It demonstrated the team’s ability to combine asynchronous processing, privacy-conscious file handling, minute-based billing logic, and AI transcription infrastructure into a web product for creators, educators, teams, and other users working with spoken content.

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