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$0Free plan available.
Introduction:
Mixpeek is an intelligence layer for object stores like S3 that uses NLP to interpret non-text files via a GET /search API call. Designed as a multimodal data warehouse for developers, it processes and extracts features from text, images, video, audio, and PDFs at scale. It provides a unified API to extract insights, identify patterns, and query across diverse media types through a single interface.
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Mixpeek Product Information
What is Mixpeek?
Mixpeek is an intelligence layer for object stores like S3 that uses NLP to interpret non-text files via a GET /search API call. Designed as a multimodal data warehouse for developers, it processes and extracts features from text, images, video, audio, and PDFs at scale. It provides a unified API to extract insights, identify patterns, and query across diverse media types through a single interface.
How to use Mixpeek?
To use Mixpeek, begin by setting it up with a single line of code. Upload objects from any source, such as AWS S3 buckets, and Mixpeek will automatically detect content types and prepare them for feature extraction. The platform offers flexible tools for every stage of the pipeline, including object uploading, feature extraction, feature enrichment, and retriever construction.
Mixpeek's Core Features
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Unified API for multimodal data processing
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Cross-format search across text, images, video, and audio
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Feature extractors for every data type
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Seamless model upgrades and cross-model compatibility
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Automatic scaling and unlimited queries
Mixpeek Use Cases
#1
AdTech platforms processing millions of creative assets daily to accelerate creative analysis and automate brand safety checks.
#2
Media companies managing large volumes of video content to enhance content discovery and monetization.
#3
Retail companies maintaining extensive asset libraries to enable visual product search and automate product tagging.
#4
Security platforms processing high volumes of surveillance footage daily to speed up incident analysis and automate suspicious activity alerts.
#5
EdTech platforms managing diverse learning materials across multiple formats to improve content organization and student engagement.
#6
Dataset Engineering & Management to accelerate dataset development cycles and enhance dataset quality, consistency, and auditability.
FAQ from Mixpeek
How does the usage-based pricing work? +
Mixpeek's usage-based pricing includes a base fee plus costs based on your actual usage. You are billed for the API calls made and storage used, allowing costs to scale according to your needs.
Are there any long-term commitments? +
No, the usage-based plan is billed monthly without long-term commitments. You have the flexibility to upgrade, downgrade, or cancel at any time.
What happens if I exceed my usage limits? +
There are no hard limits on the usage-based plan. You will simply be billed for your actual usage at the conclusion of each billing cycle.
Can I switch between plans? +
Yes, you can switch plans at any time. Changes will become effective at the start of your next billing cycle.
Do you offer discounts for annual payments? +
Yes, Mixpeek provides a 10% discount for annual payments on the usage-based plan. Please contact our sales team for further details.
Mixpeek Pricing
Related Model Comparison Pages
Use these comparison pages to understand the trade-offs between the models most relevant to Mixpeek.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.0 Flash Lite and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.5 Flash and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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