OpusClip vs Otter.ai
Side-by-side comparison of AI visibility scores, market position, and capabilities
AI video repurposing tool turning long videos into viral short clips. 10M+ users, 172M+ clips. Raised $68M ($20M SoftBank, $215M valuation). Founded 2022, Palo Alto.
About
OpusClip was founded in 2022 in San Francisco with the mission of making professional-quality short-form video creation accessible to anyone with a camera or an existing video archive. The company built an AI-powered video repurposing engine that identifies the most engaging segments from long-form content — podcasts, webinars, interviews, and livestreams — and automatically edits them into short clips optimized for TikTok, YouTube Shorts, Instagram Reels, and LinkedIn.\n\nOpusClip's platform uses multimodal AI to analyze spoken content, visual cues, and engagement signals, then applies automated cropping, caption generation, B-roll insertion, and platform-specific formatting. Its Clipping Score feature rates each generated clip by predicted virality, helping creators prioritize their publishing workflow. The platform serves individual creators, marketing teams, and media companies, with use cases spanning content repurposing, lead generation, and social distribution at scale.\n\nOpusClip has grown to over 10 million users who have collectively generated more than 172 million clips, establishing it as the leading AI video repurposing tool by usage volume. The company raised $68M in funding including a $20M investment from SoftBank at a $215M valuation. Founded less than three years before reaching unicorn-adjacent scale, OpusClip represents one of the fastest consumer AI product adoption curves in the video creation category.
AI meeting transcription platform hit $100M ARR in Mar 2025; 25M+ users; $500K revenue per employee; launched enterprise API and MCP server in Oct 2025
About
Otter.ai is an AI meeting intelligence platform founded in 2016 by Sam Liang and Yun Fu in Mountain View, California. The company was built on the insight that conversations and meetings are the most information-dense and least captured medium in the modern workplace — and that real-time AI transcription could transform how teams capture, search, and act on spoken knowledge. Otter's initial product was a live transcription application that produced searchable, speaker-attributed transcripts of meetings, calls, and voice notes with significantly higher accuracy than existing dictation tools.\n\nOtter's platform has evolved into a full meeting intelligence system that includes real-time transcription, AI-generated meeting summaries, action item extraction, a meeting chatbot for querying transcript content, and integrations with Zoom, Google Meet, and Microsoft Teams. Enterprise features include custom vocabulary, team workspaces, compliance-grade data retention, and an API for embedding Otter's transcription capabilities into third-party applications. In October 2025, Otter launched an enterprise API and an MCP (Model Context Protocol) server, enabling AI agents to query and act on meeting intelligence programmatically.\n\nOtter.ai hit $100M ARR in March 2025, a milestone achieved with 25M+ users and a notably lean cost structure of approximately $500K in revenue per employee. The company has remained privately held and has not disclosed a primary capital raise, operating profitably at scale. Otter competes with Fireflies.ai, Fathom, and Zoom AI Companion in the meeting intelligence market, with its long operating history, transcript search quality, and enterprise integrations as primary differentiators.
AI Visibility Head-to-Head
Key Details
Capabilities & Ecosystem
Capabilities
Integrations
Also Compare
Track AI Visibility in Real Time
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.