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AI-Powered Audio Content Moderation at Scale

We built AudioSweep's core AI engine — a real-time audio analysis pipeline that detects and removes unwanted content with 97% accuracy across multiple languages.

OpenAI WhisperCustom ML ModelPythonFastAPIAWS Lambda
Audio AIContent ModerationReal-time Processing
AudioSweep

The Problem

AudioSweep's team was manually reviewing thousands of audio files per day. The process was slow, inconsistent, and couldn't scale with growing user demand.

The Solution

We built a multi-stage AI pipeline: audio transcription via fine-tuned Whisper, semantic classification with a custom transformer model, and automated redaction — all running in under 2 seconds per file.

Results

97%Detection accuracy
2sAverage processing time
10xScale increase vs manual

Client Testimonial

“AudioSweep is expertly developed by KodesInc. Their dedication to precision, usability, and cutting-edge AI technology makes AudioSweep a standout tool for effortless audio editing.”

Jonathan Reeves

Jonathan Reeves

CEO, AudioSweep

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