Custom Video & Audio Processing Software Development

We build AI-driven video recognition systems that detect, track, and classify objects, faces, and scenes in real time. Applications include automated content moderation, smart search across video libraries, and security alerting. We built MindBox — an AI video surveillance system that detects incidents automatically for 650+ organizations across the US.

We implement professional-grade color correction pipelines: LUT application, HDR tone mapping, white balance adjustment, and cinematic color grading. Our tools support real-time preview and batch processing. We developed LAYRS — an AI-powered HDR image processing platform for real estate photography with automated color enhancement and exposure correction.

We develop video transcoding pipelines that convert between formats (MP4, WebM, HLS, DASH, RTMP) with optimized encoding for every platform — web, mobile, Smart TV, and VR. Our cloud-based transcoding solutions handle batch processing and adaptive bitrate streaming. We built transcoding infrastructure for Worldcast Live, supporting 10,000+ concurrent viewers with sub-second latency.

We develop AI-based video stabilization that removes camera shake and motion blur in real time. Our algorithms work on both pre-recorded and live video feeds, supporting mobile apps, drone footage, and body-worn camera systems. We applied video stabilization for DSI Drones — a drone video surveillance system where smooth footage is essential for accurate incident analysis.

We build automated subtitling and captioning pipelines using speech-to-text AI that generate accurate captions for live and pre-recorded video. Our solutions support multi-language subtitle generation, real-time closed captioning, and SRT/VTT export. We implemented real-time captioning for TransLinguist (multi-language interpretation platform for hospitals and courts) and Scholarly (AWS-awarded EdTech platform in Asia Pacific).

We develop AI-powered audio recognition systems for speaker identification, voice authentication, sound classification, and music fingerprinting. Our algorithms handle noisy environments and multi-speaker scenarios with high accuracy. We built FRP — a "Shazam for professional DJs" that identifies tracks from a library of 720,000+ licensed songs in real time.

We implement AI-powered noise reduction that eliminates background noise, echo, and interference in real time. Our solutions work for video conferencing, podcast production, and surveillance audio — supporting both cloud and on-device processing. We applied advanced noise reduction across our conferencing platforms including ProVideoMeeting and TransLinguist, ensuring crystal-clear audio in challenging environments.

We build AI voiceover and dubbing pipelines with automatic lip-sync, voice cloning, and multi-language audio track generation. Our solutions synchronize dubbed audio with video timing for seamless playback. We developed VOLO — a real-time AI translation system that generates natural-sounding voiceovers with correct intonation and pauses for live events.

We build podcast production tools with automated noise removal, leveling, intro/outro insertion, chapter markers, and transcript generation. Our solutions support remote recording with separate audio tracks per guest, automatic silence removal, and one-click publishing to major directories. We developed similar multi-track recording and editing capabilities for Alve Live — a live streaming platform with private sessions and integrated audio production.