bigmp4

A one-sentence summary

BigMP4 is an AI tool for enhancing video and images; it can enlarge images, remove noise intelligently, insert frames, create slow-motion effects, and add color to black-and-white footage.

Tool Introduction

BigMP4 is operated by Guangzhou DataTech Co., Ltd., and its purpose is to provide cloud-based AI services for video super-resolution and frame interpolation. Users upload their existing video material, select parameters such as enlargement, noise reduction, frame insertion, color correction, or slow-motion processing, and after the server has completed the processing, the results can be downloaded.

It is not a platform for generating images or videos from text, nor does it offer services such as face swapping, creating digital avatars, voice cloning, or fine-tuning of user models. The AI merely reconstructs the details and motion frames based on the user’s original footage.

Main functions

AI video zooming and noise reduction

The current task settings offer 2x and 4x zoom, and the noise reduction level can be adjusted to low, medium, high, or the highest setting. The official website markets these outputs as 2K, 4K, or 8K, but the actual resolution depends on the original size and the zoom level used.

AI frame interpolation

For frame interpolation, a 2x or 4x frame rate can be selected; this is often used to increase the video’s frame rate to 60, 120, or 240 fps. This feature is available only to users with paid credits, and it increases the number of frames, the processing time, as well as the GPU credit consumption.

Coloring of black-and-white videos and images

The black-and-white coloring mode predicts the colors in a scene; it is suitable for old films, home videos, and historical photographs. The predicted colors are not the actual historical colors, so the original version should be kept for professional archival purposes.

Slow motion

Slow motion maintains the output frame rate unchanged after inserting intermediate frames, thereby extending the playback time. It is suitable for breaking down movements, adjusting the pace of product videos, and editing short clips.

GIF and ZIP batch processing

The platform allows for tasks such as enlarging GIFs, coloring them, adding missing frames, or playing them in slow motion; it also enables the packaging of multiple images into a ZIP file for upload. The ZIP batch processing feature is available as a paid service and is suitable for processing sequences of frames, product images, or animation frames on a bulk basis.

Supported files and parameters

Working principle

BigMP4 first analyzes the number of frames, resolution, duration, and frame rate of the material, and then calculates the GPU score based on options such as zooming, noise reduction, frame interpolation, and color correction. Once the task is uploaded, it is placed in a cloud queue; the output file can be downloaded only after processing is complete.

1. Read the file’s size, frame rate, duration, or number of images.
2. Select the processing mode based on the photo or anime type.
3. Set the noise reduction level, zoom level, and optional effects.
4. The system displays the estimated GPU score consumption before it starts.
5. After uploading, wait for the server to process it; paid users receive priority handling.
6. Download the result and compare it frame by frame with the original file.

Quick Start Tutorial

1. First, register for and log in to a bigmp4 account so that you can continue to view tasks even after closing the browser.
2. Click to upload a file and select a short, non-sensitive clip.
3. In the file type category, select real photos, videos, or animations/cartoons.
4. First, perform a test with low or medium noise reduction and reduced amplification.
5. Start the task after confirming the GPU score displayed on the interface.
6. After completion, download it and check the face, text, edges, and areas of rapid movement.

Video zooming tutorial

1. Trim the irrelevant segments and keep an unedited original copy.
2. After uploading the video, check the resolution, duration, and frame rate as determined by the recognition system.
3. For real-life footage, select photos and videos; for 2D animation, choose cartoons.
4. Choose 2x or 4x magnification to prevent the output from exceeding the specifications of subsequent editing software.
5. Adjust noise reduction based on the compression noise level; don’t choose the highest setting from the start.
6. First, process the shorter clips to ensure that there is no wax-like appearance in the details, and only then submit the longer videos.

Tutorials on AI frame interpolation and slow motion

1. First, make sure you have paid GPU credits available; the free version does not enable AI frame interpolation.
2. For videos with transitions, flashings, or severe motion blur, first cut them into individual frames.
3. Select a small-scale test with 2x frame interpolation to check whether the motion contours jitter.
4. To increase the frame rate, keep the normal output; to slow down the video, select slow motion.
5. Confirm the points to be used and the estimated time before submitting the task.
6. After completion, pay close attention to transitions, fingers, wheels, and objects in fast motion.

Black and white coloring and batch processing tutorials

1. First, remove dust from the black-and-white footage and crop it, so that unnecessary borders do not interfere with the coloring process.
2. Individual assets can be uploaded directly, while multiple images are packaged into a ZIP file in sequence.
3. Choose black and white coloring; if necessary, apply mild noise reduction along with amplification.
4. Verify the number of images or video frames calculated by the system against the GPU count.
5. After downloading the result, check the colors of the skin tone, sky, uniforms, and logos.
6. Archival, museum, or academic uses should be labeled as AI-generated coloring.

Which users are it suitable for

• Video creators: Zoom in on low-resolution segments, or provide footage with a higher frame rate for editing purposes.
• Short video management: Improving the clarity of existing footage, as well as adjusting the speed and rhythm of the videos.
• Animation producer: Responsible for enlarging 2D animations or cartoon sequences and adding missing frames.
• Archivist: Creates viewing copies of black-and-white family videos or historical materials.
• E-commerce and designers: Use ZIP to process product images or sequence frames in bulk.
• Sports and teaching users: Observe the details of movements in slow motion.

Typical use cases

• Enlarge early SD-quality recordings to a version suitable for viewing on modern screens.
• Increase the frame rate for motion, game, or dance footage.
• Convert black-and-white home videos into colored versions for display.
• Generate smooth slow-motion clips of product details or instructional actions.
• Scale up illustrations, old photos, and video sequence frames in bulk.
• Perform basic noise reduction and scaling before moving on to the editing or color correction process.

Product advantages

• Zooming, noise reduction, frame interpolation, colorization, and slow motion are all included in the same task configuration.
• It supports common video, image, GIF, and ZIP files.
• It displays the GPU score consumption before submission, making it easier to estimate costs.
• The tasks are not lost when the logged-in user closes the browser.
• The paid version offers a priority queue, 100MB of upload capacity, and ZIP batch processing.
• In addition to the web version, there are also macOS and Windows client versions available for download.
• The interface is available in Simplified Chinese and multiple other languages.

Usage restrictions and precautions

• What the manufacturers call “lossless scaling” is merely a marketing term; AI creates new pixels, and it is not possible to ensure the preservation of true details.
• High-level noise reduction can blur textures, while high magnification can result in sharpened edges or artificial details.
• Frame interpolation can cause a jelly-like distortion in transitions and motion blur; the official recommendation is to split the video or reduce the scaling factor.
• The processing time is affected by the number of frames and parameters, and the progress bar does not indicate the exact remaining time.
• Free users are limited to 10MB per file; AI frame interpolation and batch processing are not supported.
• The upload section on the official website specifies a maximum size of 3000×3000 pixels, but the Chinese payment instructions state that there is no limit on image size; very large images should first be tested in a reduced scale.
• The task history interface displays only records from the last 3 days; it should not be used as a long-term cloud storage solution.

Price and GPU points

As of August 20, 2026, the official Chinese website of bigmp4 offers free monthly credits in addition to one-time GPU credit packages. The prices on the international language versions are displayed in US dollars; the figures shown in the table below are based on the current RMB pricing on the Chinese version of the site.

Suggestions for package selection

Points deduction and refunds

• The GPU integration usage is calculated based on the number of frames in the file and the task parameters, and it can be viewed on the interface before starting.
• Frame interpolation increases the number of frames, which usually leads to higher energy consumption and processing time as well.
• The GPU credits that were deducted for tasks that failed to be processed will be returned once the user deletes those tasks.
• Paid point packages are valid for one year from the date of purchase, and any remaining points after that period are no longer included in the available balance.
• If technical issues prevent proper use and the support team is unable to resolve them, a refund can be requested within 14 days of purchase.
• Refund requests are reviewed one by one; those who have made extensive use of the service, violated the terms, or abused the refund system may have their requests denied.

Platform and language support

Privacy and data processing

The official privacy policy states that the materials uploaded are used solely to fulfill user requests, and not for training, improving, or developing machine learning models. The platform also collects information related to accounts, devices, IP addresses, usage logs, and payment details.

The privacy policy states that the files are deleted immediately after processing, but the FAQ on the homepage says that the uploaded files and the resulting files are automatically deleted within a week. Due to these conflicting statements from the authorities, sensitive data should be assessed in terms of the maximum possible retention period of one week, in order to determine the associated risks.

• Before uploading, remove any unnecessary facial images, identification documents, addresses, and customer information from the file.
• Start by testing with desensitized short samples, to avoid using the original footage as the first task.
• Do not retain the only undownloaded result for an extended period in the task history.
• Enterprises or regulated users should obtain written confirmation from the authorities regarding the exact time when the files are deleted.
• A unique password should be used for the account, and after completing a task, it is necessary to check the history and device sessions.

Security and payments

• Official statements indicate that network transmissions use TLS-encrypted connections; access to the production systems is restricted, and audit logs are kept.
• Payment card information is not stored directly by bigmp4; payments are processed by third-party services such as PayPal, Stripe, WeChat Pay, or Alipay.
• When uploading files, unguessable identifiers are used, along with automatic content filtering.
• Safety measures do not guarantee absolute security; users should still keep backups of the original files and the results themselves.
• After downloading the desktop client from the official website, it is necessary to check the signature, permissions, and the results of security software scans before installing it.

Copyright and Compliance

Users retain ownership of the materials they upload; bigmp4 does not claim ownership over those files. The person who uploads the content must possess the necessary copyrights, licenses, as well as consent regarding portrait rights and privacy.

• It is not allowed to handle content related to child sexual exploitation, unauthorized private images, or other illegal material.
• It is not allowed to upload materials that violate copyright, trademark, privacy, or publicity rights.
• Portraits, surveillance footage, medical content, and proprietary commercial videos require necessary authorization before being uploaded.
• The results of AI coloring or detail reconstruction should not be regarded as unexplained original historical evidence.
• Accounts that violate the content policy may be suspended or permanently terminated.

API, GitHub, and open-source status

The official BigMP4 website does not provide API documentation, a developer console, or an official SDK. The descriptions of API endpoints listed on the security page refer to the security measures in place for internal use only; they do not mean that programmatic access is allowed to third parties.

The official website does not contain links to the official GitHub organization or code repository, and the repositories with the same name that can be found through public searches also cannot be confirmed as belonging to the site’s operators. The bigmp4 platform, AI models, and desktop client should all be labeled as not being open source.

Basic information

Recommendation score

The comprehensive recommendation score is 4.2 out of 5 points. bigmp4 combines functions such as video enlargement, noise reduction, frame interpolation, slow motion, and color correction in a simple user interface; the pricing and any deductions are also easy to understand before submission.

The main shortcomings are the low limit on the number of free files, the fact that frame restoration is available only to users with paid credits, and the possibility of artifacts appearing in the AI-generated images. Additionally, the times specified for deleting files according to the privacy policy and the FAQ do not match; it is therefore not recommended to upload sensitive materials without first verifying the relevant rules.

Frequently Asked Questions

Is bigmp4 free?

A free trial is available; the account receives 30 GPU credits per month. The free version allows files up to 10MB in size, and it does not offer priority queues, AI-based frame interpolation, or batch processing.

Is payment required for a subscription?

The current public price applies to one-time purchases of GPU credits, and it is not a monthly subscription with automatic renewal. The paid credit packages are valid for one year.

How many points are required to watch a video?

There is no fixed value; the system calculates it based on factors such as the number of frames, zoom level, frame interpolation, and other parameters. The start button will display the estimated usage for this operation before submission.

Does it support 4K and 8K?

The website states that the resolution can be increased to 2K, 4K, or 8K; the available options at present are 2x and 4x. Whether a certain standard resolution is achieved depends on the original size.

Why does the jelly effect occur when filling in frames?

Lens transitions and strong motion blur can cause stretching in the prediction of intermediate frames. It is possible to split the lens first, or reduce the frame interpolation rate from 4x to 2x.

Will points be deducted in case of failed processing?

According to the official FAQ, the GPU points that were deducted will be refunded after failed tasks are deleted.

How long are uploaded files retained?

The official documentation provides different statements: the privacy policy says that the data is deleted immediately after processing, while the FAQ on the homepage states that it is deleted automatically within a week. Sensitive files should not rely solely on the statement that they are deleted immediately.

Will the file be used to train AI?

The official privacy policy states that user-uploaded materials will not be used to train, improve, or develop machine learning models; should this practice change in the future, explicit consent will be obtained first.

Will closing the browser task result in data loss?

The tasks of logged-in users are not lost when the browser is closed; they can be viewed on the history page. The history list shows only the tasks from the last 3 days.

Is it compatible with mobile apps?

The official website currently offers clients for Web, macOS, and Windows; no official apps for iOS or Android are listed.

Are APIs provided?

No public API documentation for developers, interface for requesting keys, or official SDK was found.

Is bigmp4 open source?

It is not open source. The official website does not provide a link to the official GitHub repository, and projects with the same name that can be found through public searches are not necessarily the official source code for bigmp4.

Can the results be used for commercial purposes?

Users retain the right to upload their content, but they must ensure that the original materials, images, music, and trademarks have been authorized before using them for commercial purposes.