Qencode has launched VR Mode, a new capability that converts headset-specific VR content into standard video formats. By transforming immersive footage into production-ready video, organizations can easily distribute existing VR experiences across websites, social media, streaming platforms, and other traditional video channels.

Qencode AI Upscaling uses AI to enhance SD, HD, and 4K video by restoring detail, improving clarity, and reducing artifacts. Give existing content a second life, deliver sharper playback on modern screens, and unlock new value from your video library without costly restoration or reshoots.

Qencode’s Stream Health brings live quality monitoring to broadcast teams. Sampling video and audio bitrate, framerate, and resolution every 10 seconds, it surfaces problems on the wire the moment they happen, replacing viewer complaints and after-the-fact encoder logs with a real-time view and a full session history for later review.

Qencode’s MCP connector lets teams transcode, analyze, edit, protect, and deliver video through natural-language requests in Claude, ChatGPT, and other compatible AI assistants, reducing technical setup and manual work steps.

Qencode’s S3 Presigned URLs let teams securely grant temporary, file-specific video access without exposing credentials or making storage buckets public.

Qencode has launched Smart Thumbnails, an AI-driven feature that automatically selects the most engaging frames from videos to enhance viewer click-through rates.

M4A output delivers Apple-ready audio with native playback across iOS, macOS, and Apple media libraries.

Set a maximum output frame rate to reduce storage, bandwidth, and encoding costs while preserving standard videos at their original frame rate.

Qencode has launched signed JWT authentication for live stream playback, allowing operators to issue time-limited, per-session tokens that restrict access to individual viewers. This provides enhanced security and flexibility for paid live content, streamlining access control.

Qencode has added Translations to its Speech-to-Text output, enabling video teams to transcribe spoken audio and receive localized subtitles and transcripts in more than 80 languages in one encoding job.

Video Intelligence, now available on Qencode, accelerates video processing by delivering insights across videos in seconds. Powered by TwelveLabs and integrated directly into the encoding pipeline, it reaches across video, audio, speech, and on-screen text, returning timestamped results across five modes: description, categorization, moderation, custom, and search.

Content Operations teams are challenged by the rapid influx of AI-generated uploads, complicating moderation efforts. The newly launched AI Detection tool allows real-time verdicts on uploads, enhancing moderation efficiency and enabling proactive management of user-generated content before viewer complaints arise.

Qencode, a video processing platform, has joined the Alliance for Open Media (AOMedia) as a Promoter Member to contribute to multiple working groups. With AV1’s growing support and AV2 in draft, Qencode aims to enhance practical adoption and interoperability of these codecs, promoting open standards for accessible video technology development.