Skryber

Skryber is a cloud-based AI video editor built around the conversion of long-form video into short-form clips optimized for TikTok, YouTube Shorts, Instagram Reels, and similar platforms. The core workflow is: paste a link or upload a file, let the pipeline transcribe via Deepgram, identify speakers, reframe to 9:16 with speaker lock, remove silences and filler words on word boundaries, apply caption styles and an AI-generated thumbnail, then export in 4K. The vendor states the whole process runs in seconds relative to source length — a two-hour video in under a minute by their benchmarks. API access is available for teams that want to pipe this into a larger content automation workflow.

The differentiating surface is the combination of LLM-backed language models (Claude, GPT, and Gemini variants are listed as integrations) with ElevenLabs voice cloning for dubbing. The vendor states each speaker in a multi-speaker video retains their own cloned voice across the 33 supported languages — which means a podcast recorded in English can be exported as a Spanish-dubbed short without sounding like a generic text-to-speech layer. An AI Narrator feature writes and voices narration for silent footage, syncing captions automatically, which addresses the specific production problem of drone and B-roll channels that have no presenter voice to clone.

Skryber fits teams running high-volume, repeatable content pipelines: a podcast studio republishing episodes as social clips, a social media team maintaining multiple brand accounts, or a creator converting a content backlog into short-form. It does not perform editorial selection — the tool does not decide which moment from a 90-minute recording is the one worth clipping. That judgment stays with you. Teams that need AI to surface the best clip, not just process the one they point at, will reach the tool’s limit quickly. There is no self-hosted option, so teams with data residency or compliance requirements around video content have no on-premise path.