# Echosaw > Media intelligence platform. Echosaw uses multimodal AI to analyze video, audio, images, and documents (PDF, DOCX, TXT, MD, PPTX), > producing searchable transcripts, timeline-aligned insights, and Echosaw Academics study material derived from > the analyzed media. Analysis is asynchronous: media is submitted by upload or public URL, processed through a pipeline (transcription, OCR, object recognition, semantic indexing), and the results are retrieved by media ID. Educational features build on that output — study packets, spaced-repetition scheduling (FSRS), and mastery tracking. Emma is the conversational assistant that answers questions about analyzed media. ## Product - [Features](https://echosaw.com/features/): capabilities overview - [Pricing](https://echosaw.com/pricing/): plans and limits - [Video summarizer](https://echosaw.com/video-summarizer/): timestamped summaries and transcripts for uploaded videos, audio recordings, and meetings - [YouTube video summarizer](https://echosaw.com/video-summarizer/youtube/): paste a YouTube link for a timestamped summary, full transcript, and Q&A; works without captions - [Rubric scoring](https://echosaw.com/rubric-scoring/): score a recording against your own rubric; each finding links to the exact timestamp in the source - [For academics](https://echosaw.com/academics/): AI study guide generator for lectures, slides, PDFs, and board photos; managed classrooms for college and adult learners (18+) - [Moderation](https://echosaw.com/moderation/): AI video moderation across video frames, audio transcript, images, and documents against a fixed harm policy (nudity, sexual content, violence, hate speech, profanity). Returns a visual sensitivity rating, an allow or review action, and timestamped evidence; flagged media cannot be made public. - [Content moderation tools](https://echosaw.com/moderation/content-moderation-tools/): what content moderation software should do, and how Echosaw does it in the web app, REST API, and MCP server. Flags content, attaches timestamped evidence, and gates publishing; your team decides. Results in the web app, REST API, and MCP server. - [Image moderation](https://echosaw.com/moderation/image-moderation/): AI image moderation for PNG, JPG, WebP, GIF, and HEIC up to 5 GB, with moderation labels and confidence scores. Available through the image moderation API (`POST /v1/analyze` with `mediaType` `image`). - [Surveillance](https://echosaw.com/surveillance/): AI video analytics for recorded CCTV and security camera footage; define the events to watch for and each finding is raised at its timestamp. Footage arrives by device or browser recording, upload, or API (up to 5 GB per file); findings in minutes, each at its timestamp. Echosaw can deliver findings into your CRM, ticketing, or VMS. - [Intelligent video analytics](https://echosaw.com/surveillance/intelligent-video-analytics/): how scene detection, object and scene labels, transcript, on-screen text, and rubric scoring combine into timestamped findings. Findings are marked Criterion Met, Criterion Unmet, or Flagged for Review. - [Real-time video analytics](https://echosaw.com/surveillance/real-time/): record on a device or in the browser, upload, or use the API, and get timestamped findings in minutes, with evidence for every finding. - [Best video analytics software](https://echosaw.com/surveillance/best-video-analytics-software/): a checklist for comparing video analytics companies and providers, with Echosaw as the worked example. Not a ranking of named vendors. ## Documentation - [FAQs](https://echosaw.com/faqs/): task-oriented answers on uploads, formats, results, and billing - [Student guide](https://echosaw.com/academics/student-guide/): studying from analyzed media - [Teacher guide](https://echosaw.com/academics/teacher-guide/): study packets, tests, and roster mastery ## Developers - [API reference](https://echosaw.com/developers/api-reference/): REST endpoints under `/v1`, authenticated with an `X-Api-Key` header. Requires a plan with API access. - [MCP documentation](https://echosaw.com/developers/mcp-documentation/) ## Company - [About](https://echosaw.com/about/): built by two teachers for source-grounded learning - [Reviews](https://echosaw.com/reviews/): authenticated feedback from verified users - [Curated lists](https://echosaw.com/curated-lists/): tested and ranked comparisons of speech-to-text APIs, embedding models, object storage, and media intelligence platforms, with dataset, date, and harness disclosed - [Blog](https://echosaw.com/blog/): tutorials and engineering notes on media intelligence and AI - [Contact](https://echosaw.com/contact/): demos, questions, partnerships ## Model Context Protocol Echosaw is usable directly by AI agents over MCP. - Remote server: `https://mcp.echosaw.com` — OAuth 2.0, exposes tools for submitting media URLs, polling job status, retrieving analysis results, searching and listing media, generating download links, and managing folders. - Local server: `@echosaw/mcp-server` on npm — stdio transport, authenticated with `ECHOSAW_API_KEY`, adds direct file upload. - MCP Registry: `com.echosaw/mcp-server` ## Notes - Analyzed media and user libraries are private and require authentication; only the pages listed above are public. - [Terms of service](https://echosaw.com/legal/terms-of-service/), [privacy policy](https://echosaw.com/legal/privacy-policy/), [AI use disclosure](https://echosaw.com/legal/ai-use-disclosure/)