FILE TRANSCODER · BROADCAST-GRADE BATCH
100+ formats. GPU-accelerated.
Ten times faster turnaround.
Point Media Tech File Transcoder is a broadcast-grade batch transcoding platform. GPU hardware acceleration, distributed architecture, watch-folder automation. From IMF / MXF / ProRes to H.265 / AV1, one pipeline delivers every target format.
100+
Formats supported
×10
Transcoding speed
GPU
Hardware accelerated
N×
Linear scale-out
WHY NOW
From single-machine software encoding to distributed GPU clusters
is a step change in post-production throughput.
Legacy workflow: producers drop masters into a shared folder, an operator queues each file into Adobe Media Encoder, and a one-hour show takes four hours to render. Every additional output target — broadcast MXF, OTT MP4, mobile H.265 — multiplies the wait. File Transcoder moves that pipeline onto a GPU cluster: distributed scheduling, watch-folder triggers, REST API integration with MAM and Inspector. One enqueue produces every format in parallel.
LEGACY · SOFTWARE TRANSCODING
Single CPU, file-by-file, manual queueing
Transcoding software runs on an engineer's workstation; every output target is encoded again from scratch; queueing is manual; one bad job means another four-hour wait; overnight catch-up shifts are routine; throughput is capped by one machine.
FILE TRANSCODER · BATCH AUTOMATION
GPU cluster, batch-driven, API-integrated
Distributed architecture with N-times linear scale-out; GPU hardware acceleration delivers 10x throughput; watch folders trigger jobs automatically; multi-target outputs run in parallel; REST API ties into MAM, Inspector, and Playout; overnight catch-up shifts disappear.
CAPABILITIES · THREE LAYERS
Three layers, one continuous
batch transcoding pipeline.
Format coverage → GPU acceleration → workflow automation. Each layer is independently sized, licensed by core count and concurrency, and extensible as you grow.
100+ format coverage · Format Coverage
Broadcast containers (IMF / MXF OP1a / OP-Atom / ProRes / DNxHD), web and mobile (MP4 / MOV / WebM), codecs (H.264 / H.265 / AV1 / VP9 / ProRes / DNxHR). Multiplexed audio tracks and subtitle channels are preserved end-to-end.
- IMF / MXF / ProRes / DNxHD
- H.264 / H.265 / AV1 / VP9
- Multi-track audio + subtitle channels
- HDR10 / Dolby Vision metadata
GPU cluster · Distributed GPU
NVIDIA NVENC / NVDEC hardware acceleration; multi-card parallelism; distributed job scheduling; automatic load balancing; node failure failover; N-times linear scale-out. From one card to a full GPU rack — the workflow stays the same.
- NVIDIA NVENC / NVDEC
- Multi-card parallelism · linear scale-out
- Distributed scheduling · load balancing
- Automatic node failover
Batch automation · Automation
Watch-folder triggers; REST API and webhooks; bidirectional integration with MAM / Video Inspector / Playout; batch priority controls; scheduled runs; one enqueue produces every output target in parallel and writes metadata back automatically.
- Watch-folder triggers
- REST API + webhooks
- MAM / Inspector / Playout integration
- Multi-target parallel output
WORKFLOW
Transcoding is the bridge from post to playout —
one enqueue, every target, in parallel.
File Transcoder translates masters into every playout and distribution format. The process is automated, batch-driven, and fully auditable.
FIGURE 01 · BATCH TRANSCODING WORKFLOW (SOURCE → QUEUE → GPU → MULTI-OUT → DELIVER)
SPECIFICATIONS
Engineering specifications.
A full spec sheet and live engineering walkthrough are available on request.
| Input formats | MXF (OP1a / OP-Atom) · ProRes · DNxHD / DNxHR · IMF · MP4 · MOV · MPEG-2 · H.264 / H.265 · AV1 |
|---|---|
| Output formats | Broadcast (MXF / IMF / ProRes) · OTT (HLS / DASH / MP4) · Mobile (H.265 / AV1 / WebM) · custom presets |
| Hardware acceleration | NVIDIA NVENC / NVDEC · multi-GPU parallelism · CUDA-accelerated filters · CPU fallback |
| Distributed architecture | Master-worker nodes · automatic load balancing · node failover · N-times linear scale-out (single host to cluster) |
| Automation & integration | Watch folders · REST API · webhooks · bidirectional MAM / Video Inspector / Playout |
| Audio & subtitles | Multi-channel (5.1 / 7.1 / Atmos pass-through) · CEA-608/708 · STL / SRT / TTML |
| Licensing | Licensed by transcoding cores and concurrent jobs; modular scaling; software license + annual maintenance |
HOW TO START
Three steps, from evaluation to production.
Request a trial
Submit the contact form. Sales will respond within one business day to schedule a technical consultation.
Integration assessment
Our consultant reviews transcoding load, target formats, and integration with your existing MAM / Inspector / Playout to size the GPU cluster.
Deploy and go live
After GPU node deployment, preset configuration, and acceptance testing (including batch stress tests), we phase the rollout to keep your post-production running.
READY?
Ready to transcode
ten times faster?
Book a demo and see what a GPU cluster does to your post-production schedule.
FAQ
Frequently asked questions.
Which mainstream formats does File Transcoder support for batch transcoding?
File Transcoder supports 100+ formats, including broadcast containers such as IMF, MXF, MP4, MOV, and ProRes, along with codecs such as H.264, H.265, and AV1. It covers the full range of broadcast, web, and mobile delivery targets.
What concrete advantages does File Transcoder offer compared with traditional transcoding workflows?
File Transcoder combines GPU hardware acceleration with a distributed architecture, delivering transcoding throughput more than 10x faster than traditional software-only transcoders. Batch processing and watch-folder automation dramatically shorten media turnaround time.
Can File Transcoder integrate with our existing post-production workflow?
Yes. File Transcoder provides a REST API and watch-folder ingestion and integrates with MAM, Video Inspector, and post-production workflow systems to automate the full pipeline from ingest to delivery.
How is File Transcoder licensed?
Licensing is based on the number of transcoding cores and concurrent jobs, with flexible scaling options. Contact sales for a detailed quote tailored to your batch transcoding requirements.
What system requirements are needed to run File Transcoder?
NVIDIA GPUs are recommended to take full advantage of hardware acceleration. Linux and Windows are both supported. Exact specifications depend on the number of concurrent jobs and target formats; our technical consultant will help size your deployment.
How do I evaluate and trial File Transcoder?
Submit the contact form and sales will respond within one business day to schedule a technical consultation. We will review your transcoding requirements and propose an evaluation plan.