Post-production and archive:
make your library distribution-ready.
Point Media Tech's post-production and archive workflow is one parallel line for ingest, batch transcode, subtitling, and file QC: MAM manages the material, File Transcoder converts it, Speech-to-Text drafts the subtitles, and Video Inspector checks delivery specs. It serves studios, library digitization teams, and content owners moving titles from tape and legacy drives into OTT, FAST, and VOD distribution.
Illustrative: MAM keyword search, with AI tags and a synced STT transcript
A library delivery line has to run like a production line —
parallel, instrumented, predictable.
Library digitization turns existing titles into files that meet distributor specs and can go live directly. FAST channels and regional OTT services need large volumes of catalog content to fill their schedules, so a rights holder is no longer asked only "what's new?" but "how much can you ship next month?" Titles that clear delivery earn licensing revenue; titles that don't are storage cost.
Clearing delivery is not a copy-to-cloud operation. Distributors want spec-compliant masters (IMF or MXF OP1a, for example), the subtitles each market requires, and files that pass QC. Multi-language subtitles have moved from value-add to entry requirement, and manual transcription alone cannot keep pace with library-scale demand at a workable cost.
The real constraint is throughput. When a large batch of titles has to launch within a quarter, a serial one-file-at-a-time transcode chain ties up engineering. Point Media Tech runs transcodes in parallel across nodes, hands each file to QC automatically when transcode finishes, and uses STT for first-pass subtitles, so every stage's progress and output can be measured and forecast.
- Ingest
- Batch transcode
- Subtitling
- Automated QC
- Publish to OTT / FAST
Four products on the library delivery line,
from ingest to QC.
- Media Asset ManagerMedia management from ingest to archive. Masters, proxies, and project files sit in one searchable library with proxy preview, AI tagging, and full-text search, and cold material can archive to LTFS tape.
- File TranscoderMassively parallel transcode across hundreds of formats and wrappers. Submit a batch once and it is dispatched and written out automatically, with watch folders and GPU acceleration.
- Video InspectorFully automated, file-level AI QC. Black frames, audio peaks, freezes, EBU R128 loudness, and codec conformance in one pass, with support for DPP / AS-11 delivery specs.
- Speech-to-TextReal-time and offline captioning across 40+ languages. Generates first-pass subtitle masters so editors review and correct rather than transcribe from zero.
Frequently asked questions.
Where does a library digitization project start?
A library digitization project starts with an inventory of library size, source media, and target distributor specs. Point Media Tech then plans the ingest, transcode, subtitle, and QC line for tape, legacy drives, or existing files. A pilot batch confirms that every stage meets delivery specs.
What deliverables do OTT and FAST platforms need from a content library?
Usually three: spec-compliant masters or streaming files, the subtitle files each market requires, and a QC report showing the file passed. Point Media Tech's File Transcoder outputs MXF, IMF, ProRes, and HLS / DASH, Speech-to-Text outputs SRT, VTT, TTML, and EBU-STL, and Video Inspector produces PDF QC reports. For channel and platform operations after delivery, see OTT and FAST distribution.
Can AI captioning replace manual transcription?
Point Media Tech's Speech-to-Text produces first-pass subtitles, so editors shift from transcribing to reviewing. A custom term list keeps names and specialist terms consistent, and subtitles should still get a human review before they go live.
What does file-based QC check before delivery?
Point Media Tech's Video Inspector checks video, audio, and subtitles at file level. Video covers black frames, freezes, and macroblocking; audio covers EBU R128 / ATSC A/85 loudness, true peak, and silence; subtitles cover CEA-608/708 and TTML timing, with results graded pass, warning, or reject by QC profile.
How does batch transcoding scale for a large library?
Point Media Tech's File Transcoder uses a distributed controller-worker architecture that scales from one server to a cluster with automatic load balancing. It supports NVIDIA GPU acceleration and watch-folder dispatch, and other nodes take over if one fails; architecture details are in the File Transcoder whitepaper.
Turn your catalog into shippable inventory
— start with a technical assessment.
Point Media Tech maps your library size, current workflow bottlenecks, and target distributor specs, then returns an executable blueprint for your library delivery line: a throughput estimate, a subtitle language matrix, and a QC ruleset.
Need help planning, rolling out, or running it? Explore our broadcast systems integration services