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FilePreviews.io vs OpenCV: What are the differences?

# Introduction
FilePreviews.io and OpenCV are both tools used for image and video processing, but they have key differences that set them apart.

1. **Integration Ease**: FilePreviews.io provides a simple API for easy integration into websites, while OpenCV requires more complex setup and coding to use effectively.

2. **Cloud-Based Processing**: FilePreviews.io offers cloud-based processing of images and videos, allowing for faster processing times and scalability, whereas OpenCV primarily operates on local machines.

3. **Feature Extraction**: OpenCV offers a wide range of advanced image processing and computer vision features, including facial recognition and object detection, not available in FilePreviews.io.

4. **Customization Options**: FilePreviews.io offers limited customization options for image processing, while OpenCV provides extensive tools and libraries for customization and development of advanced algorithms.

5. **Usage Cost**: FilePreviews.io typically operates on a pay-per-use pricing model, while OpenCV is an open-source library that is free to use, making it a more cost-effective option for some users.

6. **Community Support**: OpenCV has a large and active community, providing extensive documentation, tutorials, and support forums, while FilePreviews.io may have limited community support and resources available.

In Summary, FilePreviews.io offers easy integration, cloud-based processing, and lower customization options, while OpenCV provides advanced features, extensive customization capabilities, and a large community for support.
Advice on FilePreviews.io and OpenCV
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I want to make a video template where we can change images and make a new video with template animation text and song but the images are our and the image which is chosen from a user can convert into different shapes just like cartoon or childhood or old age and at the last show both images in the template video. How I can do it in Android Studio?

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Replies (2)
Steve Barnes
Lead Software Tools Engineer at Leonardo UK · | 4 upvotes · 9.2K views

Since I believe Android Studio now supports Python plugins &/or invoking Python scripts I personally would use MoviePy (https://zulko.github.io/moviepy/) as a wrapper around FFMPEG &

ImageMagick (https://www.imagemagick.org/script/index.php) - this combination will allow you to have a script that takes in an image or video, resizes it to a specified size, adds the text, (either scrolling it in or fading in/out or even with some special effects), then saves the output video. There are example scripts on the MoviePy site on how to do these. While you could do it yourself with FFMPEG & ImageMagick plus command line parameters I personally find using MoviePy much more clear & maintainable.

If you want the end user to be able to supply the image/video then you will need to set up a server somewhere that can take in the POSTed image and return the processed results.

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Hi! I will start by asking questions before giving specific advice, because there is the need to understand better what you want to do, and there will be a number of steps and choices to take, therefore there is not "the one" advice to give here.

First of all, afaiu you want to implement the described video processing on Android?

If that is the case, you will have to create or use native bindings to Java runtime (JNI i.e Android NDK) in order to access FFmpeg or OpenCV or any other C lib itfp. My first advice is therefore, you should check how feasible that is (existing bindings working for your target JRE etc).

Further, i find the description of what you want to produce quite unspecific. I guess parts of what you want to do with either sourced videos or images can be achieved with ffmpeg or opencv based processing.

In the end you just need to start writing some kind of processing steps with either. Once it gets more specific in details you can probably ask more specific questions on how to use these libs or even other tools.

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Pros of FilePreviews.io
Pros of OpenCV
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    • 36
      Computer Vision
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      Open Source
    • 12
      Imaging
    • 9
      Face Detection
    • 9
      Machine Learning
    • 6
      Great community
    • 4
      Realtime Image Processing
    • 2
      Helping almost CV problem
    • 2
      Image Augmentation

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    What is FilePreviews.io?

    An API service designed for developers building applications with rich file preview capabilities. We generate an image preview of every page, layer, OCR text, EXIF metadata and much more

    What is OpenCV?

    OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.

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      What tools integrate with FilePreviews.io?
      What tools integrate with OpenCV?
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        What are some alternatives to FilePreviews.io and OpenCV?
        Cloudinary
        Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.
        Pillow
        It adds image processing capabilities to your Python interpreter. It provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities.
        FFMPEG
        The universal multimedia toolkit.
        scikit-image
        scikit-image is a collection of algorithms for image processing.
        imgix
        imgix is the leading platform for end-to-end visual media processing. With robust APIs, SDKs, and integrations, imgix empowers developers to optimize, transform, manage, and deliver images and videos at scale through simple URL parameters.
        See all alternatives