Cerul
FreemiumSearch video by meaning across speech, visuals, and on-screen text.
By Tanmay Verma, Founder · Last verified 03 Jul 2026
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Added 6d ago
77/100Safe BetIn short
Cerul — Search video by meaning across speech, visuals, and on-screen text. Best for AI agents needing real-time video grounding, Developers building video-aware SaaS products, Research teams analyzing lecture or conference recordings. Free to start; paid plans from $29.9/mo.
Is Cerul actually worth it?
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Editorial Verdict
Best for
AI agents needing real-time video groundingDevelopers building video-aware SaaS productsResearch teams analyzing lecture or conference recordingsContent teams searching internal video libraries by conceptPrivacy-conscious users indexing local media without cloud upload
Not ideal for
Users needing real-time video processing or live streaming searchTeams that require fully managed enterprise deployments without custom contactThose looking for a general-purpose video editing or analysis platformUsers who need extensive pre-built integrations with CRMs or databasesTeams wanting a free unlimited search tier
Cerul's multimodal video search API is a practical solution for developers who need to make video content queryable by AI agents. The free tier and open-source availability reduce risk, but heavy users should plan for pay-as-you-go costs.
Compare with: Cerul vs Reduct.video, Cerul vs Genmo, Cerul vs Sora
Last verified: July 2026
What independent users actually report about Cerul
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
14 mentions across 1 source (Lemmy).
50% positive50% critical
Recurring strengths
- +Multimodal search across speech, visuals, and text
- +Free tier with 100 signup credits and 10 daily searches
- +Open-source self-hosting option available
- +Privacy commitment: no training on customer data
- +Single API call returns timestamped, grounded results
Recurring frustrations
- −No community feedback to validate tool claims
- −Limited platform support: desktop app is Mac-only
- −Designed for developers, not non-technical users
- −No integrations listed, may require custom setup
- −Pricing beyond free tier is unclear from the data
Patterns worth knowing
Lack of relevant discussion about Cerul
Seen on Lemmy
Learning curve
intermediateProductive in ~A few hours
Hidden costs people mention
- • No hidden costs reported, but paid tiers lack detail
Viability Score
77/100
Safe BetHow likely is Cerul to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
80
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- Multimodal video search across speech, visuals, and on-screen text
- Single API endpoint (POST /v1/search) returns timestamped grounded results
- Optional AI-generated answer from matched evidence
- Relevance scores (0.0–1.0) for each result
- Tracking links that redirect to original video source
- Keyframe preview thumbnails
- Transcript alignment with visual timeline
- Desktop app for local media indexing (Mac)
- Global overlay and local REST API in desktop app
- YouTube and podcast search in desktop app
- Open source self-hosting option
- Encryption and no-training commitment on user data
- Auto-recharge and top-up credit mechanism
- Free daily searches (10/day) for evaluation
About Cerul
FreemiumIntermediateAPI availableAPI · Desktop · Web
Cerul is a video search layer for AI agents and developers who need to ground models in actual video content. Instead of relying on metadata or captions alone, Cerul indexes the full video stream—spoken words, visual scenes like slides or whiteboards, and on-screen text—so a single natural-language query can find the exact moment where something relevant occurs. The platform is designed for agentic workflows, research pipelines, SaaS products, and teams that want to turn video libraries into structured, queryable context. A single API call (POST /v1/search) returns timestamped results with relevance scores, source links, and optional AI-generated summaries. Cerul offers two product surfaces: a hosted cloud API for managed use, and a local-first desktop app for privacy-sensitive media libraries on Mac. What makes Cerul different is its multimodal approach—it doesn't just read captions, it sees the video. This means you can search for concepts that appear only visually (like a chart or a product demo) or across speech and visuals simultaneously. The service is fully open source under the hood, and the company commits to never training models on customer data. With a free tier that gives 100 signup credits and 10 free searches daily, it's easy to evaluate without upfront cost.
Behind the Verdict
Cerul addresses a real pain point: making video content searchable by meaning for AI agents. Most video search tools rely on captions or metadata, missing visual context like slides, charts, or whiteboards. Cerul's multimodal indexing covers speech, visuals, and on-screen text, so a query like 'Sam Altman on AI video generation' finds the exact timestamp across all modalities. The API is straightforward—single POST endpoint returns grounded results with timestamps, relevance scores, and source links. Developers can integrate quickly. The free tier (100 signup credits, 10 free searches per day) is generous for evaluation. For privacy-sensitive use, the desktop app indexes local files without cloud upload. Cerul is open source, so self-hosting is possible, though not turnkey. Pricing is credit-based: 1 credit per search, 2 if including AI-generated answers. Pay-as-you-go at $8/1K credits works for sporadic use, but Pro at $29.90/month gives 5,000 credits (effective $5.98/1K) plus higher rate limits. Heavy users should calculate costs upfront. Where Cerul falls short: it's not a real-time video search tool—no live streaming support. Integrations are minimal; teams may need to build connectors themselves. Enterprise features like private indexing and SLA require custom contact. Compared to alternatives like Twelve Labs or Google Video AI, Cerul is simpler and cheaper, but lacks the same breadth of pre-built integrations and advanced video analysis. For teams that prioritize privacy and open-source flexibility, Cerul is a solid choice. Overall, it's best for developers integrating video grounding into agents or internal tools, less for users needing a full video management platform.
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Use Cases
- Search internal video libraries for specific product demos or whiteboard sketches
- Ground an AI agent's answers in timestamps from YouTube lectures or podcasts
- Automate video Q&A for customer support by indexing tutorial recordings
- Find all mentions of a competitor in quarterly earnings call videos
- Enable researchers to query across hundreds of hours of conference talks by concept
- Build a video-native search feature into your SaaS product with one API
Limitations
- Free tier is limited to 10 searches per day and 100 signup credits, so heavy experimentation will require purchasing credits.
- Standard rate limits apply on Free and Pay-as-you-go plans (1 req/s per the /usage response).
- Private indexing and SLA guarantees are only available on Enterprise plans.
- The desktop app currently supports only macOS.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
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