Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Discover an extensive collection of film stills designed to inspire creativity, enhance learning, and streamline the filmmaking process. FrameThrower caters to the needs of filmmakers, advertising professionals, and film students alike. Users can easily search through a vast library of movies by various criteria such as lighting, lens characteristics, shot sizes, color grading, time of day, and the actors present in each scene. By simply describing a scene in everyday language, you can quickly locate frames that visually correspond to your vision. Additionally, you can compile references into lookbooks and conveniently export them as PDFs or ZIP files for easy access. For developers, there are eleven REST endpoints available, along with an MCP server compatible with Claude and ChatGPT, an npm SDK, and a ComfyUI node that facilitates the integration of frames and pre-made depth maps into image projects. This platform is the brainchild of experienced filmmakers and advertising creatives, ensuring a rich resource for anyone looking to enhance their filmmaking endeavors. With such a comprehensive array of tools and resources, FrameThrower empowers users to elevate their projects to new heights.
Description
Jina Search allows you to perform searches in mere seconds, outpacing traditional search engines in both speed and precision. Leveraging advanced AI capabilities, it comprehensively analyzes the information contained in both text and images, ensuring you receive thorough and relevant results. Transform the way you search and discover what you need with the innovative features of Jina Search. In scenarios where the dataset contains mislabeled items, conventional search methods struggle to deliver meaningful outcomes, whereas Jina Search excels by not depending on tags and effectively locating superior items. By utilizing cutting-edge machine learning models, Jina Search seamlessly integrates multiple data types, including images and text, all while preserving your existing Elasticsearch customizations. Consequently, there’s no requirement to manually label each image in your dataset, as Jina Search intuitively processes and categorizes images for you, enhancing your overall search experience. This automated understanding of visual content significantly reduces the time and effort needed to manage large datasets.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Jina AI
No
Mimasa AI
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
FrameThrower AI, Inc.
Country
United States
Website
framethrower.ai
Vendor Details
Company Name
Jina AI
Founded
2020
Country
Germany
Website
jina.ai/product/search/
Product Features
Visual Search
Barcode Recognition
No
Catalog Management
No
Customer Activity Tracking
No
Filtering
No
IP Protection
No
Image Tagging
No
Mobile App
No
Optical Character Recognition
No
Product Recommendations
No
Product Search
No
Reverse Image Search
No
Video Search
No
Product Features
Visual Search
Barcode Recognition
No
Catalog Management
No
Customer Activity Tracking
No
Filtering
No
IP Protection
No
Image Tagging
No
Mobile App
No
Optical Character Recognition
No
Product Recommendations
No
Product Search
No
Reverse Image Search
No
Video Search
No