Free API
Free source (opens in a new tab)
Month
For: Evaluation
Limits
- 100 video processing credits
- Entry-level API throughput
1 more
- Community support
Includes
- Core search and processing
- Extraction executions for validation
API included
VideoDocumented overviewLast checked Sep 29, 2026
VideoVector: Pricing, Features & Best Use Cases
Media intelligence platform that turns video, audio and image libraries into structured metadata and searchable, grounded MediaRAG workflows.
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Our take: Choose VideoVector if you need to turn video, audio and image libraries into time-stamped structured metadata and grounded search through an API or Python SDK, starting on a free 100-credit workspace.
Main limitation: Processing is limited by video processing credits (100 on Free), connectors, webhooks, exports and API keys start on Starter, and Enterprise terms need a sales call.
Is VideoVector right for you?
Choose VideoVector if you need to turn video, audio and image libraries into time-stamped structured metadata and grounded search through an API or Python SDK, starting on a free 100-credit workspace. Based on the vendor's documentation, not on a hands-on test.
Best for: Media and publishing teams
Also a good fit for
- Developers building video search
- Security and operations teams
Consider another tool if processing is limited by credits (100 on Free)
Or if
- Connector, webhook, export and API key access starts on Starter
- Enterprise terms require contacting sales
VideoVector pricing and usage limits
Prices checked Sep 29, 2026 on the official US pricing page. Official pricing ↗ Prices and limits change often.
Free access and trial conditions
Every new workspace starts on Free, no checkout.
Free plan serves as evaluation.
Paid plans: what changes as you upgrade
Starter API
$49/mo source (opens in a new tab)
Month
For: Moving into production
Limits
- 500 video processing credits
Includes
- Connectors, webhooks, exports, API keys
- Higher throughput
2 more
- Email support
- On-demand credit purchases
API included
Pro API
$149/mo source (opens in a new tab)
Month
For: Production teams
Limits
- 2,000 video processing credits
Includes
- Highest self-serve throughput
- Priority support
1 more
- Bulk processing workflows
API included
Enterprise API
Custom pricing source (opens in a new tab)
Unknown
For: Governed deployments
Limits
- Custom credit allocation
Includes
- Dedicated instances and SLAs
- Archive-scale onboarding
1 more
- Integration customization
API included
Usage caps, credits and extra costs
Additional video processing credit packages available; amounts not captured.
Not stated.
What is VideoVector, and how does it work?
VideoVector, from VectorMethods, extracts time-stamped, schema-based metadata from video, audio and image libraries and makes them searchable with text, image and multimodal queries. Outputs feed discovery, review and downstream pipelines. The docs describe an API reference and a Python SDK, with connectors, webhooks and exports. Pricing combines monthly plans with video processing credits.
What you provide and what you get back
You provide
- Video, audio and image files
- Custom extraction schemas and prompts
- Cloud connector libraries
You get back
- Time-stamped structured JSON metadata
- Search results with timestamped evidence
- Exports and webhook events
Where you can use it
- Platforms
- API
- Account
- Required
- Media types
- Video, audio, image
- Outputs
- Time-stamped JSON metadata
- Search
- Text, image, multimodal, agentic
- Access
- REST API, Python SDK, MCP
What people use VideoVector for
Scenarios are worked out by our editors from the documentation; the actual result depends on your input and plan.
Indexing broadcast and sports footage
- Who
- Media and publishing teams
- You provide
- Archive video libraries
- Expected result
- Searchable scenes, entities and actions
- Plan needed
- Starter and up
- Limitation
- Credits scale with hours processed source (opens in a new tab)
Cataloging media archives
- Who
- Archive and rights teams
- You provide
- Owned libraries
- Expected result
- Rights-aware searchable collections
- Plan needed
- Pro or Enterprise
- Limitation
- Archive-scale needs a custom plan source (opens in a new tab)
Reviewing CCTV or bodycam evidence
- Who
- Security and operations teams
- You provide
- Recorded footage
- Expected result
- Evidence timelines and incident reports
- Plan needed
- Starter and up
- Limitation
- Review by a person is still required source (opens in a new tab)
Building video search and MediaRAG apps
- Who
- Developers
- You provide
- Indexed video through the API or SDK
- Expected result
- Grounded answers with timestamped evidence
- Plan needed
- Free to test
- Limitation
- API keys start on Starter source (opens in a new tab)
What VideoVector does, and where it stops
Schema-backed metadata extraction
Extracts time-coded metadata defined by your own schema. Outputs fit downstream pipelines.
Multimodal media search
Searches by text, image or multimodal queries. Finds scenes without manual tagging.
Custom extraction schemas
Lets you define custom extraction schemas and JSON output. Matches your data model.
Webhooks and exports
Sends webhooks and exports results. Feeds other systems.
VideoVector: strengths and limits
Where VideoVector is strong
- Free plan with no checkout Test before paying documented source (opens in a new tab)
- Custom schemas and JSON output Fits existing data pipelines documented source (opens in a new tab)
- Documented API and Python SDK Developer-friendly integration documented source (opens in a new tab)
- Time-stamped evidence in search results Answers can be verified documented source (opens in a new tab)
- Dedicated instances on Enterprise Meets strict deployment needs documented source (opens in a new tab)
Limitations to check before paying
- Processing limited by credits (100 on Free) Free tier covers a small sample documented source (opens in a new tab)
- Connector, webhook, export and API key access starts on Starter Free users cannot automate documented source (opens in a new tab)
- Enterprise terms require contacting sales No public enterprise price documented source (opens in a new tab)
- No consumer-facing app described Built for developers and teams documented source (opens in a new tab)
- Credit-per-video costs not captured Hard to estimate large archive costs documented source (opens in a new tab)
How to use VideoVector for indexing a video library for search
Set up VideoVector
- Create a free VideoVector workspace
- Open the API docs and create an index
- Install the Python SDK if you use Python
Example: indexing a video library for search
- Upload or import a video into the index
- Define an extraction schema (entities, actions, summary)
- Run extraction on the video
- Search with a text query and review timestamped results
Review and export the result
- Check the returned timestamps match the video
- Compare extracted fields with a manual sample
Find every scene where a goal is scored and list the players and timestamps.
VideoVector integrations and API
Native integrations and export formats
Export: JSON, Exports via API
API access and separate billing
VideoVector has no public API in its official documentation. REST API reference and Python SDK API documentation ↗
Privacy, data use and commercial rights
Summarized from the vendor's current policies; this is not legal advice and a vendor's badge is not an independent audit.
How your inputs and outputs are handled
Uploaded media and extracted metadata are processed and stored in indexes.
Not captured.
Governed by the hosted product Privacy Policy; deletion via media item delete action.
Commercial use and plan restrictions
Not stated.
Dedicated instances on Enterprise.
Controls for business users
- Dedicated instances
- Custom rollouts
Policies: vectormethods.com/privacy
Best VideoVector alternatives for different needs
"Better suited" is based on documented features and pricing, not on a head-to-head test.
Google Gemini: better suited to
| Alternative | When to choose it | Pricing | Limitation | |
|---|---|---|---|---|
| Google Gemini | — | — |
Explore VideoVector further
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VideoVector FAQ
What is included in the free plan?
100 video processing credits, entry-level API and processing throughput, core search and extraction executions, with community support. source (opens in a new tab)
What do Starter and Pro cost?
Starter is $49 per month with 500 credits; Pro is $149 per month with 2,000 credits. source (opens in a new tab)
Which plan unlocks connectors and webhooks?
Starter and above include connector, webhook, export and API key access. source (opens in a new tab)
Can I buy more credits?
Yes, additional video processing credit packages are available. source (opens in a new tab)
Is there an SDK?
Yes, a Python SDK plus a REST API reference are documented. source (opens in a new tab)
Sources and review methodology
Official sources and verification dates
- VideoVector home homepage · checked Oct 1, 2026
- VideoVector pricing pricing · checked Oct 1, 2026
Not verified: Credits per hour of video; Credit package prices; Training policy.
How we documented and maintain this page
Every fact about VideoVector above comes from the 2 official pages listed here, last compared on Sep 29, 2026; we have not run VideoVector ourselves, so it has no editorial score. How we check and re-check pages.
Article updated Oct 10, 2026; prices checked Sep 29, 2026. Outbound links to vendors are plain links; we do not earn commissions. How we review · Report an error