Cloudglue
Video context API that structures, searches, and reasons over video for AI agents.
Cloudglue is a smart pick for dev teams that need fast, structured video context for RAG and AI agents. The credit-based pricing fits variable usage, but the free tier is just a taste. If you need deep customization or on-prem, look elsewhere.
Verified 4d ago · liveness 69/100 · cite: rightaichoice.com/tools/cloudglue
- Developers building video-aware AI agents and chatbots
- Teams needing RAG over large video libraries (sales calls, training)
- Sales enablement platforms extracting insights from call recordings
- Enterprises analyzing surveillance or training footage at scale
- Teams wanting a no-code video analysis tool
- Users needing real-time or edge video processing
- Projects with extremely high video volumes on a tight budget
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Skip Cloudglue if you need on-prem or edge video processing, have strict data residency requirements, or want a no-code tool rather than an API.
Credits are consumed per request and per minute of footage, so costs scale linearly with usage—processing 125 hours on the Scale tier uses all 60,000 credits, and you'll need to buy more for any additional processing.
Cloudglue's credit-based pricing is flexible for startups and variable usage, but it can be pricier than flat-rate alternatives for high-volume needs. Compare with Twelve Labs or Google Video Intelligence, which may offer different pricing models. The free tier is just a taste.
In short
Cloudglue — Video context API that structures, searches, and reasons over video for AI agents. Best for Developers building video-aware AI agents and chatbots, Teams needing RAG over large video libraries (sales calls, training), Sales enablement platforms extracting insights from call recordings. Free to start; paid plans from $15/mo.
What's new in Cloudglue
Checked 2 days agoAcross the latest 1 update: 1 news mention.
What people actually say about Cloudglue — is it worth it?
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.
19 mentions across 2 sources (Hacker News, Product Hunt) · researched Jul 3, 2026.
- +Fast indexing: 2 hours of video processed in 3 minutes.
- +Developer-first REST API with user-defined extraction schemas.
- +Native chat with playable citations across video libraries.
- +Designed for AI agents and RAG workflows out of the box.
- +Structured entity extraction reduces manual data prep.
- −Free tier too small for meaningful evaluation (25 minutes).
- −No self-hosted or offline processing available.
- −Usage-based credits can become expensive at scale.
- −Still in active development; some features are maturing.
- −Community feedback is almost entirely from launch day.
- • No flat-rate or enterprise tier announced; costs scale with usage and can spike.
- • Credit consumption per minute is fixed, but schema extraction and chat also consume credits.
Viability Score
How well maintained and how widely used is Cloudglue? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Upload video and audio files for indexing
- Automatic transcription at 4 credits per minute
- Scene segmentation and description
- Structured entity extraction with user-defined schemas
- Semantic search across video segments and collections
- Chat completion with playable citations
- RAG over entire video libraries
- Aggregate analysis and report generation across videos
- Fast indexing: 2 hours in ~3 minutes
- Collection management and indexing
- REST API for video context extraction
- Credit-based usage with multiple credit packs
- Native AI agent support (tool calling)
- Server-side processing with managed model upgrades
- Free playground for testing
About Cloudglue
Cloudglue is a video context engine that turns any video or audio into structured, LLM-ready data. Built for developers, it offers a REST API to upload footage, extract transcripts, scenes, entities, and metadata, then query across collections for RAG, chatbots, and analytics. The platform's standout speed—processing 2 hours of video in about 3 minutes at a credit cost of 4 credits per minute—lets teams index thousands of hours of footage and run aggregate analyses in seconds. Cloudglue is purpose-built for AI agents, with native support for tool calling, playable citations, and structured extraction via user-defined schemas. It's production-ready and Y Combinator-backed, making it a solid choice for startups and enterprises building video-aware applications. The API covers the full pipeline: upload, transcription, scene segmentation, entity extraction, semantic search, and chat completion with citations. You define schemas to extract consistent data, and the system handles multimodal model upgrades under the hood. Use cases range from sales call insights to training content search, surveillance footage analysis, and media asset management. Developers appreciate the straightforward setup—a few lines of code to start—and the credit-based pricing that scales with usage. Compared to generic vision APIs like Google Video Intelligence or specialized tools like Twelve Labs, Cloudglue differentiates with its agent-native design and structured schema extraction. It's not a no-code solution; it's an API-first tool for teams that want to embed video understanding into their own products. The free tier is limited—25 minutes indexed and 200 chat requests—so serious projects will need a paid credit pack. All processing is server-side, so data must be uploaded, which may be a consideration for privacy-sensitive use cases. For developers needing video context at scale, Cloudglue's speed, structured extraction, and agent support make it a strong choice. It's not for casual
Behind the Verdict
Cloudglue fills a specific slot: it's the API you reach for when your product needs to understand video at scale and you don't want to babysit multimodal models. The recent KDD workshop acceptance on sales transcripts shows it's being taken seriously in research circles, but the real value is operational. You upload files, define schemas, and get back structured data you can query. It strips away the infrastructure headache. Pick Cloudglue when you're building AI agents or RAG pipelines over video libraries. The speed claim holds up in practice—2 hours of footage indexed in about 3 minutes means you can iterate quickly. The credit model is straightforward: 4 credits per minute for extraction, 1 per chat or search. But the free tier caps you at 25 minutes and 200 chat requests. That's enough to test, but you'll need a paid pack for any serious project. The closest competitor is Twelve Labs, which also offers video understanding APIs. Cloudglue's edge is its agent-native design: native tool calling and playable citations make it drop into an agent workflow with less glue code. Twelve Labs may have deeper vision features, but Cloudglue is simpler for structured extraction. Where it bites: no on-prem or edge processing, so privacy-sensitive teams can't keep data local. Also, the pricing tiers jump from $45 to $350—a big leap for mid-size usage. If your volume sits awkwardly between tiers, you might overpay. Still, for developers who want to ship video-aware features without building a video ML stack, Cloudglue is a pragmatic, well-priced option.
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Real-world workflow fit
Concrete scenarios for the personas Cloudglue actually fits — and what changes day-one when you adopt it.
You need to analyze thousands of sales call recordings to extract common objections and product mentions.
Outcome: Using Cloudglue, you upload call recordings, define a schema for objections and product mentions, and within minutes you have structured data ready for your analytics dashboard and AI agent to answer queries with citations.
You want to make a large library of lecture videos searchable by topic and slide content.
Outcome: You index the videos via the API, use semantic search to let users find specific segments, and integrate chat completion so they can ask questions and get answers with playable citations to the exact moment.
You need to automatically flag relevant events in security footage and generate reports.
Outcome: You define schemas to extract entities like license plates and timestamps, then use Cloudglue's aggregate analysis to generate reports and have the agent reason across footage, all without managing video processing infrastructure.
Use Cases
- Build a chatbot that answers questions about your video library with specific timestamps and quotes.
- Analyze thousands of sales call recordings to extract common objections, product mentions, and sentiment.
- Create a searchable archive of lecture videos where users can find specific topics and slides.
- Automatically generate structured reports from security footage, flagging relevant events.
- Empower an AI agent to reason across a collection of screen recordings to produce step-by-step guides.
- Extract consistent entities (e.g., license plates, brand logos) from a large video dataset.
Models Under the Hood
as of 2026-08-23
Limitations
- Pricing is credit-based, meaning costs scale linearly with usage.
- The free tier is limited to 25 minutes indexed and 200 chat requests.
- No offline processing; all video must be uploaded to Cloudglue servers.
- Context window for chat is not specified but likely limited by underlying model (could be large but not infinite).
as of 2026-08-12
Verification history
We have re-verified Cloudglue 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Cloudglue tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Solo developers evaluating the API and testing small samples; not enough for production use.
What this tier adds
Starting tier with 200 credits, 200 chat requests, and 25 minutes indexed—just a taste.
Mini
$15
Ideal for
Individuals or small prototypes needing a bit more capacity; 1000 credits and 2 hours indexed.
What this tier adds
Adds 800 more credits and 1,800 more chat requests than Free, plus 1.75 more hours indexed.
Starter
$45
Ideal for
Early-stage startups with real but modest video processing needs; 3000 credits and 6 hours indexed.
What this tier adds
Triples the credits of Mini and adds 4 hours of indexed video—a stepping stone to production.
Builder
$350
Ideal for
Growing teams processing significant video libraries; 30,000 credits and 63 hours indexed with a 22% discount.
What this tier adds
10x the credits of Starter at a lower effective rate—built for scaling usage.
Scale
$600
Ideal for
Enterprises with large-scale video analysis needs; 60,000 credits and 125 hours indexed at a 33% discount.
What this tier adds
Double the Builder credits with a bigger discount—for heavy production workloads.
Enterprise
Contact Us
Ideal for
Large teams requiring custom quotas, dedicated support, and potential discounts beyond Scale.
What this tier adds
Tailored plans with custom pricing and support, not available for self-serve.
Where the pricing makes sense
The company stage and team size where Cloudglue's pricing actually pencils out — and where peers do it cheaper.
Cloudglue's credit-based pricing is flexible for startups and variable usage, but it can be pricier than flat-rate alternatives for high-volume needs. Compare with Twelve Labs or Google Video Intelligence, which may offer different pricing models. The free tier is just a taste.
Setup time & first value
How long it actually takes to get something useful out of Cloudglue — broken out by persona, not the marketing-page minute.
For developers, you can get started in minutes: sign up, get an API key, and upload your first video. The playground lets you test without writing code. Expect to have a basic integration working within a few hours.
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Cloudglue
Common stack mates teams adopt alongside Cloudglue, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Cloudglue vs Spider Cloud
Choose Spider Cloud if your AI agent needs real-time web data for RAG or scraping — it's vastly cheaper and more feature-rich for text-based extraction. Pick Cloudglue only if your core use case is querying video libraries, as it's purpose-built for that but has a narrower scope and higher per-minute cost.
Cloudglue vs Voyage Ai
Choose Voyage AI if your priority is high-accuracy text retrieval on domain-specific documents (finance, legal) with long-context needs, and you have enterprise budget. Choose Cloudglue if you need to turn video/audio into searchable data for AI agents, want a freemium pricing to start, and value fast indexing over deep text embedding features.
Cloudglue vs Temporal Ai
If you need to orchestrate reliable, crash-resistant AI agents or long-running workflows, Temporal AI is the proven choice—trusted by OpenAI and Replit. If your primary need is turning video/audio into structured, queryable data for AI agents (e.g., sales call analysis), Cloudglue offers a fast, purpose-built video context engine. They solve different problems; choose based on your core use case.
Alternatives to Cloudglue
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