This AI Voice Call Transcription & Analysis is a production-ready application that automatically transcribes voice call recordings in 50+ languages using OpenAI Whisper for high-accuracy speech-to-text conversion. The application handles multiple audio formats (WAV, MP3, M4A, FLAC, OGG) and supports automatic language detection for transcription across English, Spanish, French, German, Chinese, Japanese, Arabic, and dozens of other languages. Analysis features including sentiment analysis, entity extraction, keyword identification, and action item detection are optimized for English transcriptions.
The application provides comprehensive analysis capabilities for English transcriptions. It performs sentiment analysis using advanced NLP models to classify positive, negative, and neutral tones throughout calls, extracts named entities including people, organizations, locations, dates, and monetary amounts, identifies key topics and keywords with frequency analysis, and automatically detects action items and questions. Reports can be exported in PDF, Excel, CSV, and JSON formats. The application includes basic speaker diarization to identify speaking time and speaker patterns. All processing uses synthetic data generation techniques to improve coverage while protecting user information.
Built for businesses and developers who need call transcription and analysis capabilities, this full-stack solution includes a Flask REST API backend and modern React TypeScript frontend with Tailwind CSS. Deploy instantly using the included Docker configuration, or install manually on Windows, Linux, or macOS. The application stores data locally using SQLite (easily upgradeable to PostgreSQL for production environments) and includes complete API documentation for integration with external systems. Batch processing allows simultaneous upload and analysis of multiple files.
Technical requirements include Docker and Docker Compose (recommended) or Python 3.11+ and Node.js 18+ for manual installation. Minimum system requirements are 2 CPU cores, 4GB RAM, and 10GB storage. Recommended specifications include 4+ CPU cores, 8GB+ RAM, 50GB+ SSD, and optional NVIDIA GPU with CUDA support for faster processing. The application processes audio files up to 500MB and handles recordings from 1 second to 4 hours in duration.
IMPORTANT NOTE: This application has been fully developed with all features implemented. However, it has not been tested in a live production environment. Buyer should expect to perform integration testing and may encounter minor bugs that require fixing. Basic technical knowledge and development skills are required. Transcription supports 50+ languages with automatic language detection. Analysis features (sentiment analysis, entity extraction, keyword identification, action item detection, and question extraction) are designed for English text and may produce inaccurate results when applied to transcriptions in other languages.
NO REFUNDS: Due to the digital nature of this product, all sales are final.
LICENSE TERMS: Seller retains full ownership and control. Purchase grants a non-exclusive, non-transferable, perpetual license—AS IS, no support/updates, no refunds, no other obligations. Buyer may build and operate a materially new, closed-source product (including SaaS/paid service) for their own business/customers. Buyer may not open-source or disclose the application, nor resell, redistribute, rebrand, sublicense, or use the application (or any derivative) to create a competing or substantially similar product. License terms may be updated or changed at any time; continued use constitutes acceptance.