Skip Intro, Recap & Credits
Give your viewers the “Skip Intro” and “Next Episode” experience they expect — without an editor marking every episode by hand.
DeepSense’s deep learning engine classifies every moment of an episode as logo, intro, recap, main content, credits or transition, and delivers precise in and out points for each segment.
Boundaries are calibrated for real-world playback: the Skip button never appears before the intro begins, and playback always resumes before the story picks up again — so your viewers never miss a frame of the content they came for.
Deep Learning That Sees And Hears
DeepSense doesn’t rely on a single signal. It combines state-of-the-art vision models that recognize title cards, logos and credit rolls, audio models that recognize theme music and dialogue, and shot boundary detection that understands how the episode is cut.
Every frame is judged in the context of the whole episode, delivering reliable results across genres, languages and even the darkest of shows.
On-Screen Graphics & Text
Know exactly what’s burnt into your picture before it goes to air or to a new territory.
DeepSense detects burnt-in channel and studio logos in any corner of the frame, burnt-in subtitles in any language, documentary-style superimposed titles, and post-production slates — extracting the slate text for you.
It also finds textless material appended after the main content, ready to be used for localized versions.
Format & Audio
Catch format and audio issues automatically, long before they reach your viewers.
DeepSense detects letterboxing and pillarboxing to reveal the true active picture aspect ratio, identifies the spoken language of every audio track, verifies that subtitles are in sync with the audio, and flags non-standard Dolby channel mappings.
All common broadcast sources are supported.
Gets Smarter With Every Episode
DeepSense learns from your own content. Operators review and fine-tune results in the DeepSense Player, a frame-accurate annotation tool, and every approved episode is automatically fed back into training.
New episodes are added to the training set daily and the model is retrained every week — tailoring its accuracy to your catalog, your shows and your house style.
Built-in safeguards compare every new model against the current one and keep whichever performs better, so accuracy only moves in one direction.
Secure & On-Premise
Your content never leaves your building. DeepSense runs fully offline on your own Windows servers, accelerated by NVIDIA GPUs for fast turnaround on large libraries.
Models and training data are protected with AES-256 encryption, and the backend and training scheduler run as native Windows services — starting automatically and working around the clock with no one logged in.
Built Into vCoder QC Workflows
DeepSense is tightly integrated with vCoder QC, bringing AI content analysis right into your automated quality control workflows.
Intro, credits, logo, subtitle, aspect ratio and audio language checks run alongside vCoder QC’s content verification, so every file is analyzed and verified in a single, hands-free pass — with no extra steps and no separate tools to manage.
Prefer to work interactively? Pick the detections you need in the DeepSense web interface, point it at a video file and hit Run — progress streams live to the browser and results export with a click. And for everything else, DeepSense’s REST API connects it to your MAM or content management system, with multiple jobs processed in parallel.