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Specialized
FFmpeg Development Services
Professional FFmpeg development services for custom media pipelines, video transcoding, streaming infrastructure, and audio processing solutions.
Get Started45+
Projects Delivered
50+
Technologies
100%
Client Satisfaction
99.9%
Uptime
Service Category
FFmpeg Engineering
Ideal For
Businesses needing video/audio processing pipelines, streaming infrastructure, and media automation.
Timeline
4 – 12 weeks
End-to-End FFmpeg Development
Our FFmpeg development services deliver custom media processing solutions — from video transcoding pipelines and adaptive streaming to audio processing and automated media workflows. We build scalable infrastructure that handles everything from a few files to millions of media assets.
Our FFmpeg Services
- Transcoding Pipelines — Multi-format, multi-resolution encoding with adaptive bitrate ladder generation.
- Streaming Infrastructure — HLS/DASH packaging, live streaming ingest, and CDN integration.
- Media Automation — Automated thumbnail extraction, watermarking, concatenation, and format conversion.
- Audio Engineering — Transcoding, normalization, noise reduction, and multi-channel audio processing.
- Cloud-Scale Processing — Distributed processing pipelines on AWS, GCP, or custom Kubernetes clusters.
Why Choose Us for FFmpeg Development
- Deep Codec Knowledge — Expert understanding of H.264, H.265, VP9, AV1, and audio codecs.
- Scalable Architecture — Queue-based pipelines that scale from single files to millions of assets.
- Quality Optimization — Balanced encoding parameters for optimal quality at target file sizes.
- Cost Efficiency — Hardware acceleration and efficient encoding to minimize compute costs.
Industries We Serve
We build media solutions for streaming platforms, educational technology, social media, surveillance systems, enterprise video, and healthcare imaging.
Our Process
1
Discovery & Scoping
Analyze your media processing requirements, volume, formats, and quality targets.
2
Architecture Design
Design the processing pipeline, encoding profiles, storage strategy, and delivery mechanism.
3
Iterative Development
Build pipeline components with quality benchmarking, throughput testing, and integration.
4
Quality Assurance
Encoding quality validation, performance profiling, and edge case testing.
5
Deployment & Support
Production deployment with monitoring, alerting, and ongoing optimization.
Technology Stack
Media Core
FFmpeglibavGStreamerx264/x265VP9/AV1
Streaming
HLSDASHRTMPWebRTCSRT
Languages
C/C++PythonNode.jsBash
Infrastructure
AWS MediaConvertDockerKubernetesCDNS3
Industries We Serve
MediaEdTechStreamingSocial MediaSurveillanceEnterprise
Need FFmpeg Development?
Let's discuss your media processing requirements and build a scalable pipeline.
Frequently Asked Questions
MicrocosmWorks provides FFmpeg consulting, custom transcoding pipeline development, video processing API creation, live streaming infrastructure setup, media analysis tools, and integration of FFmpeg into web and mobile applications. We handle everything from single-command optimization to building full video processing platforms.
Custom FFmpeg pipeline development starts at $5,000 for basic transcoding workflows and ranges to $30,000+ for enterprise-scale systems with adaptive bitrate encoding, content-aware processing, and cloud auto-scaling, with developer rates between $10 and $50 per hour.
Yes, we build RESTful video processing APIs that wrap FFmpeg functionality behind clean endpoints for transcoding, thumbnail extraction, format conversion, metadata reading, and video manipulation. These APIs are deployed as containerized microservices with job queuing, progress callbacks, and horizontal scaling.
We build live streaming infrastructure using FFmpeg for RTMP ingest, real-time transcoding to multiple bitrates, and HLS/DASH output for CDN distribution. Our setups include stream health monitoring, automatic quality adaptation, recording to cloud storage, and failover configurations for mission-critical broadcasts.
Yes, we integrate FFmpeg video processing into existing SaaS platforms by adding background job workers, webhook-driven processing triggers, and progress tracking. We design the integration to handle concurrent processing loads without impacting your application's core performance, using isolated container or serverless architectures.