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Decode uploaded videos and get accurate information with Filestack’s

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Plans & Pricing
A diagram shows a file picker with animal and nature photos, a file upload window, an image of a sunset, and tags like nature and sunset, leading to app integration labeled Your App Powered by Filestack.
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Use Video Tagging to Extract Meaningful Data

Uncover insights within your videos with Filestack Intelligence using state of the art machine learning to automatically organize videos, streamline processes, and make decisions about video data without the need for manual analysis. Detect general features of uploaded videos through Workflows.

A real example of the returned tags when uploading the following video

Object Detection 

{
  "tags": {
      "auto": {
      "animal": 99,
      "cheetah": 99,
      "grass": 62,
      "jaguar": 95,
      "land": 53,
      "leopard": 95,
      "mammal": 99,
      "nature": 53,
      "outdoors": 53,
      "panther": 95,
      "plant": 80,
      "tree": 54,
      "vegetation": 88,
      "wildlife": 90
      }
  }
}

Which industries benefit from video tagging?

There are countless insights in your videos. Tagging and filtering help you turn your videos into data to drive your business. Filestack has partnered with the best machine learning technology to deliver a quick analysis of your videos and drive actionable insights.

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Zenefits logo featuring a stylized hummingbird icon to the left of the word “ZENEFITS” in uppercase, sans-serif letters.
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Video tagging in ecommerce

Video tagging is one way to speed up backend processes by automatically tagging images with attribute labels for both physical and aesthetic qualities. This capability offers consumers a highly personalized experience since the retailer has information on the consumer’s style preferences. What’s more, image and video tagging helps curation teams build shoppable content or distribute UGC for publishers, brands and retailers.

Use-Case

A problem facing many e-commerce retailers is building classifiers for product data tagging, which is a faster and more scalable approach. A key challenge is the proliferation of taxonomies used to describe merchandise. One brand may call something a “shirt,” another “blouse,” and yet another “polo.”

One way to go around this is by populating the field with a list of suggested tags. This can be accomplished using Filestack’s Picker, our image and video tagging micro-service, and any general HTML form. By presenting a list of tags to the user and allowing them to click on each to populate an input field, we have taken a task and turned it into a few clicks.

Keep your business processes smart and seamless when you tag videos with Filestack.

A yellow polo shirt icon with an arrow pointing to six identical shirt icons grouped under categories like trousers, blazers, and shirts, illustrating a two-step workflow for tagging and categorizing clothing.

Make use of Filestack’s Video Tagging capabilities within your app now.

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Plans & Pricing
A black silhouette of a walking cat is shown above a black rectangle with the word CAT written in white, all on a light background.

OBJECT RECOGNITION

How valuable would it be to “see” what is in every image? With our image auto-tagging service, you can easily abstract what objects appear in your uploaded images. People, animals, transportation, and thousand of other categories are at your disposal.

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EXPLICIT CONTENT DETECTION

Moderate your images to ensure you are only showing content that comply with your rules and boundaries. By implementing “safe for work” and a “not safe for work” score, our image tagging service can help you automate content moderation so you can focus on your core business.

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OBJECT DETECTION

Sometimes knowing which objects are in your photos isn’t enough — you need to know where they are, too. Filestack Object Detection uses state-of-the-art neural networks to detect and locate common objects in photos.

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OCR (OPTICAL CHARACTER RECOGNITION)

OCR extracts text from images so you don’t have to. Whether you are transcribing old documents, or grabbing license plate numbers from security footage, Filestack OCR reliably extracts printed and handwritten data from your images.

Simple line icon of a document with a folded corner, featuring a checkmark inside a circle overlapping the document, and a dotted rectangle below it, symbolizing approved or verified file upload or completion.

COPYRIGHT

Now detect images that are copyright protected. Upload a single image or millions of images, a single API call will display the copyright status of any image. This is especially useful for businesses that rely on user generated content and require their uploads to be free of copyrights.

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VIDEO INTELLIGENCE

SEO can amplify how users search for and find your website. Give your site the boost it needs with automatic video tagging when you apply Filestack Video Intelligence. With our custom machine learning models, long form video tags are applied to your video uploads to optimize your site’s performance with SEO front and center.

Just One Integration, One Time…

Filestack connects you with a multitude of services with one simple integration. You never have to worry about updating API integrations again. Uploading Files is our raison d’etre. We update for other API changes, and will never depreciate our API or force unwarranted changes on you.

Libraries & SDKs
Choose from our SDKs to get started: Javascript, Ruby, PHP, Python, Swift, Android

No maintenance required
Once you integrate, you’re done. Never worry about changing APIs disrupting your file workflow again.

Dev-to-dev support
Your files are always our #1 concern. We are always here to help you get up and running and assure the best performance.

import * as filestack from 'filestack-js';
const client = filestack.init('YOUR API KEY');
client.upload(fileObject).then(data =>console.log(data.url));
gem 'filestack'
client = FilestackClient.new('YOUR_API_KEY', security: security_object)
filelink = client.upload(filepath: '/path/to/file')
$ composer require --prefer-dist filestack/filestack-php

use Filestack\FilestackClient;

$client = new FilestackClient('YOUR_API_KEY');
$filelink = $client-upload('/path/to/file');
$ pip install filestack-python

from filestack import Client client = Client("")

params = {'mimetype': 'image/png'}
new_filelink = client.upload(filepath="path/to/file", params=params)
print(new_filelink.url)
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“A simple integration with Filestack’s content intelligence API allowed us to offload the analysis of a large volume of mail quickly and reliably. This automation has proven critically important as our team has more time to focus on enhancing our core product.”

— STEVEN MAGUIRE, VP TECHNOLOGY AT EARTH CLASS MAIL