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What is Bigjpg?

Bigjpg is an AI super-resolution lossless image enlarging/upscaling tool using Deep Convolutional Neural Networks.

How does Bigjpg enlarge images?

Bigjpg uses the latest Deep Convolutional Neural Networks to intelligently reduce noise and serration in images, allowing the images to be enlarged without losing quality.

Features

Image Enlargement

Bigjpg supports the enlargement of various image types, including anime images and illustrations, with colors, details, and edges well kept.

API Support

Bigjpg provides API support for developers, allowing them to integrate the image enlargement functionality into their applications.

Maximum Limits on Uploaded Image

The maximum limits on uploaded images are 3000x3000px and 5M for free users, and 50M for paid users.

Speed

The estimated remaining time will be shown once the process starts, and the actual processing time is usually much shorter than that estimated.

Enlargement History

Enlargement history can be viewed after logging in.

Pricing

Free Plan

Pictures / Month: 20
Speed: Slow
Server: Shared
Max Upload Size: 5MB
Max Enlarging Ratio: 4x
Offline Enlarging: Yes

Premium ($22 USD)

Duration: 12 Months
Pictures / Month: 2000
Speed: Top priority
Server: High-Performance
Max Upload Size: 50MB
Max Enlarging Ratio: 16x
Offline Enlarging: Yes
Parallel Enlarging: Yes
Batch mode: Yes

Hot Sales

Standard ($12 USD)
Duration: 6 Months
Pictures / Month: 1000
Speed: Top priority
Server: High-Performance
Max Upload Size: 50MB
Max Enlarging Ratio: 16x
Offline Enlarging: Yes
Parallel Enlarging: Yes
Batch mode: Yes
Basic ($6 USD)
Duration: 2 Months
Pictures / Month: 500
Speed: Top priority
Server: High-Performance
Max Upload Size: 50MB
Max Enlarging Ratio: 16x
Offline Enlarging: Yes
Parallel Enlarging: Yes
Batch mode: Yes

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에 대한 더 많은 태그: Bigjpg - AI Super-Resolution lossless image enlarging / upscaling tool using Deep Convolutional Neural Networks

Bigjpg - Image Super-Resolution for Anime-style artworks using the Deep Convolutional Neural Networks without quality loss. Photos are also supported.

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