Filestack has come up with Filestack Workflows, a machine learning powered solution to help businesses detect, analyze, moderate and curate content in scalable and automated ways.
Filestack and Workflows have traditionally been providing tools for companies to handle content as it is uploaded. Their tools checked for NSFW content, cropped photos, performed copyright detection on Word Docs, etc. However, handling content at scale using tools they’ve built in-house was proving to be difficult. They relied heavily on developers to implement the code or set up a chain of events.
This brought them to develop a new interface that allows businesses to upload, moderate, transform and understand content at scale, freeing them to innovate more and manage less.
The Filestack Workflows platform is built on a logic-driven intelligence functionality which uses machine learning to provide quick analysis of images and return actionable insights. This includes object recognition and detection, explicit content detection, optical character recognition, and copyright detection. Filestack Workflows provide flexibility for integration either from Filestack’s own API or from a simple user Interface.
Workflows also have several new features that extend far beyond simple image transformation:
- Optical Character Recognition (OCR) allows users to abstract text from any given image. Images of everything from tax documents to street signs can be uploaded through their system, returning a raw text format of all characters in that image.
- Not Safe for Work (NSFW) Detection for filtering out content that is not appropriate for the workplace. Their image tagging feature can automate content moderations by implementing “safe for work” and a “not safe for work” score.
- Copyright Detection to determine if a file is an original work. A single API call will display the copyright status of single or multiple images.
They have also released a quick demo to highlight the features of Filestack Workflows. This demo creates a Workflow that takes uploaded content (images or documents) and determines a filetype and then curates ‘safe for work’ images.
It determines the Filetype using the following logic:
- If it is an ‘Image’ then: Determine if the image is ‘Safe for Work’
- If it is ‘Safe’, then store to a specific storage source. If it is ‘Not Safe’ then, pixelate the image, and then store to a specific storage source for modified images.
- If it is a ‘Document’, then store to a specific storage source for documents.
Read more about the news on Filestack’s blog.
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