Video Converter - Plus
照片与视频 ¥14.00¥13.00
🎥 **Video Converter Plus** – Convert Videos & Audio Offline in Seconds
Convert any video or audio file to your desired format — fast, easy, and completely offline. No internet needed.
Whether you're editing content, changing formats for a device, or just backing up your media, **Video Converter Plus** is the all-in-one tool built for speed, simplicity, and versatility.
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🚀 **Top Features:**
- ✅ **Supports 30+ video & audio formats** – MP4, AVI, MKV, MOV, FLV, WMV, WebM, MP3, OGG, and more
- 🔄 **Batch conversion** – Convert multiple files simultaneously
- 🖱️ **Drag & drop interface** – Start converting in seconds
- 🖼️ **Video thumbnails** – Easily preview files before conversion
- 🌐 **Fully offline** – No internet required, total privacy
- ⚡ **Lightweight & fast** – Optimized for Windows 10 & 11
- 🔁 **Free lifetime updates** – Pay once, enjoy forever
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🎞️ **Supported Media Formats**
**Video Formats**
MP4, AVI, MKV, MOV, WMV, FLV, WebM, M4V, MJPEG, H261, MPEG, RM, SWF, ASF, FFM, OMA, and more
**Audio Formats**
MP3, AC3, OGG, AIFF, FLAC, DTS, EAC3, ALAW, MULAW, AU, CAF, AST
**Image Format**
GIF (conversion to/from video)
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💡 **Who Should Use It?**
- 🎬 **Content creators** – Convert files for editing or publishing
- 📚 **Students & teachers** – Make media compatible with devices
- 💻 **Everyday users** – Watch, save, or share videos without compatibility issues
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🔓 **No Subscriptions. No Hidden Fees.**
One-time purchase = lifetime access with all future updates included.
🛠️ Download **Video Converter Plus** now and enjoy effortless, offline video & audio conversions in one simple app.
AI Image Upscaler - 100+ Formats Supported
照片与视频 ¥144.00¥72.00
In the age of high-definition screens, 4K monitors, and visually driven marketing, image quality is everything. Whether you’re a photographer, designer, marketer, or simply someone who loves capturing moments, the clarity of your visuals directly impacts engagement, trust, and conversion.
Yet, we’ve all faced that one frustrating scenario — a low-resolution photo that’s too blurry or pixelated to use. Traditionally, enlarging such images meant sacrificing quality. But thanks to AI image upscaling, that’s no longer the case.
AI image upscaler uses machine learning and neural networks to intelligently enhance photos — not just stretching pixels, but reconstructing lost details with stunning realism. In 2025, this technology has matured to the point where AI can make an old, grainy snapshot look like it was captured on a professional DSLR.
Traditional Upscaling vs. AI Upscaling
❌ Traditional methods (like bicubic interpolation) enlarge images by estimating new pixels based on neighboring ones. The result? Blurry, softened edges and washed-out textures.
✔️ AI upscaling, on the other hand, uses trained neural networks to predict and restore fine details — textures, lighting, and depth — making the enhanced image appear naturally high-resolution.
Our AI image upscaler uses artificial intelligence to increase the resolution of an image without losing its clarity or sharpness. Unlike traditional methods that simply duplicate pixels, AI models analyze patterns and textures to recreate missing information, generating realistic details that weren’t visible in the original.
Because all these tasks involve relatively heavy computation, GPUs have become a core enabling hardware choice. Our image upscaler requires an Intel, AMD, or Nvidia GPU card to work. GPUs are specifically designed to handle massive parallel computation — the cores performing arithmetic operations in parallel (especially floating point multiplies and adds). Neural networks (especially CNNs) entail large numbers of operations: convolutions, matrix multiplies, activations, upsampling, etc. These map very well to GPU architectures.
Our tool accepts the most input image types, including:
🖼️ Raster Formats: jpeg/jpg, png, gif, bmp …
📷 Professional Camera Formats: nef, cr2/cr3, arw, orf, dng …
🎨 Vector Formats: ai, svg, eps …
🌐 Legacy & Niche Formats: heic/heif, ico, webp, psd …
This broad compatibility means you can seamlessly select files from any device, camera, or software, without worrying about conversions or quality loss. And here is the full list of 100+ image formats supported by the upscaler:
3fr, aai, ai, apng, art, arw, avif, avs, bmp, bmp2, bmp3, cin, cr2, cr3, crw, cur, cut, dcm, dcr, dcx, dds, dib, dng, dpx, emf, epi, eps, eps2, eps3, esf, epsi, ept, ept2, ept3, erf, exr, fax, ff, fff, fit, fits, fl32, fts, g3, gif, gif87, hdr, heic, heif, hrz, icb, ico, icon, ipl, j2c, j2k, jfif, jng, jp2, jpe, jpeg, jpg, jpm, jps, jxl, k25, kdc, mac, mat, mdc, mef, mif, miff, mng, mos, mrw, mtv, nef, nrw, odd, ora, orf, otb, palm, pam, pbm, pcd, pcds, pct, pcx, pdb, pef, pes, pfm, pgm, pgx, phm, picon, pict, pix, pjpeg, png, png00, png24, png32, png48, png64, png8, pnm, ppm, ps, psb, psd, ptif, qoi, raf, ras, raw, rgb, rgf, rla, rle, rw2, rwl, sgi, six, sixel, sr2, srf, srw, sun, svg, tga, tif, tiff, tiff64, tim, vda, vicar, viff, vips, vst, wbmp, webp, wmf, wpg, xbm, xcf, xpm, xv.
To meet various needs, the tool supports multiple output formats. Users can choose the format that best suits their goal: bmp, emf, exr, jpeg 2000 (j2k, jp2), jpeg, jpg, pdf, png, psb, psd, svg, tga, tiff, webp.
The upscaler also provides custom settings to tailor outputs:
➤ Adjust compression levels for JPEG, IPEG 2000 or WebP to balance file size and image quality.
➤ Use lossless compression for PNG or TIFF when quality is paramount.
➤ Preserve or convert color profiles (RGB, CMYK) for TIFF.
Image Processing Toolbox
照片与视频 ¥214.00¥107.00
In the modern digital age, images dominate our daily lives. From the photos we share on social media to medical scans, satellite imagery, surveillance systems, and even self-driving cars, images carry an enormous amount of information. However, raw images are rarely useful without some form of processing. This is where Image Processing Toolbox comes into play.
Image processing is the method of performing operations on an image to enhance it, extract useful information, or prepare it for further analysis. It combines computer science, mathematics, and engineering to manipulate visual content.
The tool can handle multiple image formats, including: bmp, cut, dcm, dds, emf, exr, fax, g3, gif, hdr, heic, heif, ico, iff, j2c, j2k, jfif, jng, jp2, jpe, jpeg, jpg, koa, mng, pbm, pcd, pcx, pfm, pgm, pict, png, ppm, psd, ras, raw, sgi, svg, tga, tiff, wbmp, webp, wmf, wsq, xbm, xpm
Image Processing Toolbox can handle a wide variety of image processing tasks:
1️⃣ Resize: changing the dimensions (pixel/inch) of an image while attempting to preserve as much detail and quality as possible.
2️⃣ Rotation: the process of turning an image around a fixed point (its center), by a specified angle.
3️⃣ Adjustments:
Image adjustments refer to the modifications applied to improve or alter an image’s appearance without necessarily changing its fundamental structure.
Types of adjustments in image processing:
➤ Brightness: changes the overall lightness or darkness.
➤ Contrast: adjusts the difference between light and dark areas.
➤ Saturation: increases or decreases the intensity of all colors.
➤ Gamma: adjusts midtones without heavily affecting shadows and highlights.
➤ Color Balance: allows you to adjust the amount of red, green, and blue (RGB) in highlights, midtones, or shadows.
4️⃣ Color Operations: including pixel format conversion and color channels modification.
➤ Pixel format conversion: pixel formats define the arrangement, bit-depth, and organization of color and transparency information for each pixel. Different software libraries, image codecs, and hardware systems may use different pixel formats, which makes conversion between them an essential task in any image processing workflow.
➤ Color swapping (or color replacement): the process of identifying a specific color (or range of colors) in an image and replacing it with a new one.
➤ Scale component: modify the color values of each pixel for the specified channel across the entire image.
➤ Keep component: isolating one channel, e.g., keeping the Red channel while discarding Green and Blue. The image will appear reddish and reveal how much red intensity each pixel carries.
➤ Remove component: zeroing out a channel, e.g., removing the Blue channel. The resulting image keeps only Red and Green, which combine to form various shades of yellow.
5️⃣ Filters and Effects: transform images creatively or functionally. For examples:
✅ Gaussian Blur: smooths images using a weighted average. Popular for softening skin in portraits.
✅ Sharpen: enhance edges and fine details.
✅ Edge Detection: identify boundaries in images.
✅ Median: reduces noise while preserving edges.
✅ Emboss / Engrave / Relief: highlights edges and creates a 3D relief effect.
✅ Add Noise: introduces random noise for film-like texture.
✅ Negative: flips colors to their complementary values.
✅ Erode / Dilate: shrinks or expands bright areas.
✅ Halo: excessive edge enhancement can produce unnatural outlines.
✅ Sepia: adds a warm brownish tone for a vintage look.
And more …
Image processing tasks often involve complex operations. Many of these transformations are non-linear and irreversible, meaning that once applied, recovering the original state becomes difficult or impossible without reloading the image. The “Preview Before Applying” feature empowers users by introducing non-destructive editing. Instead of immediately applying transformations to the original pixel data, the tool generates a temporary preview buffer, showing the expected result while preserving the source. This approach builds user confidence, reduces mistakes, and enables iterative experimentation.
Processed images can be saved in different image file formats: bmp, emf, exr, gif, ico, j2k, jp2, jpeg, pdf, png, svg, tga, tiff, webp.
Each output format comes with unique custom settings that can drastically affect the quality, compression, compatibility, and usability of images.
Image Binarization for OCR
照片与视频 ¥49.00¥24.50
In the modern digital era, the ability to automatically extract and interpret text from images is foundational for countless applications. From digitizing books and historical manuscripts to enabling automated license plate recognition and improving accessibility tools for visually impaired individuals, Optical Character Recognition (OCR) stands at the core of many technological solutions.
However, OCR systems face a significant challenge: real-world images are often noisy, blurred, unevenly illuminated, or distorted. Before a machine can accurately recognize text, it must first “see” it in a simplified form that eliminates distractions. This is where image binarization comes in.
Image binarization is the process of converting a grayscale or color image into a binary image consisting of only two pixel values — typically black (0) and white (255). Though simple in concept, it plays a pivotal role in ensuring OCR systems can accurately extract characters from scanned images or photos. Without effective binarization, OCR algorithms often fail to distinguish text from background noise.
Our binarizer works across multiple image formats, including: bmp, cut, dcm, dds, emf, exr, fax, g3, gif, hdr, heic, heif, ico, iff, j2c, j2k, jfif, jng, jp2, jpe, jpeg, jpg, koa, mng, pbm, pcd, pcx, pfm, pgm, pict, png, ppm, psd, ras, raw, sgi, svg, tga, tiff, wbmp, webp, wmf, wsq, xbm, xpm
Binarization isn’t just one method—it’s a field rich with algorithms. Different algorithms influence the quality of output. Each has strengths and weaknesses depending on the document type and imaging conditions. Our binarizer supports following thresholding methods:
1️⃣ Global Thresholding: Linear, Otsu
➤ A single threshold is applied across the entire image
✔️ Advantages: Simple, fast, widely used.
❌ Disadvantages: Fails with uneven lighting or complex backgrounds.
2️⃣ Local (Adaptive) Thresholding: Ordered Dither, Burke, Stucki, Floyd–Steinberg, Sauvola
➤ Threshold values vary across image regions depending on local intensity statistics.
✔️ Advantages: Handles uneven illumination.
❌ Disadvantages: More computationally expensive.
By combining with an interactive viewer. Our tool allows:
➤ Threshold Adjustment (interactive): Allow dynamic re-binarization by changing threshold sliders.
➤ Zooming: Users can inspect fine-grained details.
➤ Panning: Explore different areas of the image.
Binarized images can be saved in different image file formats: bmp, gif, jpeg, pdf, png, tiff, webp
Batch Extract Audio From Videos
照片与视频 ¥52.00¥26.00
Extracting audio from video files is a common requirement for various purposes, such as creating podcasts, archiving music, repurposing content, or enhancing accessibility. Doing this manually for multiple files can be time-consuming, but batch processing allows you to extract audio from multiple videos efficiently. Moreover, converting audio into multiple formats ensures compatibility across different platforms and devices.
Our tool Batch Extract Audio From Videos helps you efficiently extract audio from various video file types while supporting an intuitive drag-and-drop feature for ease of use. You can add multiple video files at once and extract their audio simultaneously.
The tool supports a wide range of video formats, including: .3g2, .3gp, .3gpp, .asf, .avi, .bik, .dat, .dav, .divx, .duk, .dv, .f4v, .flv, .gdv, .m2t, .m2ts, .m4v, .mkv, .mod, .mov, .mp4, .mpeg, .mpg, .mpq, .mts, .mxf, .ogv, .qt, .rm, .rmvb, .tgv, .ts, .vid, .vob, .vp5, .vp6, .vp7, .webm, .wmv, .wtv
When extracting audio from videos, you might need to convert it into different formats. Here are the most commonly used ones: .aac, .ac3, .aiff, .caf, .flac, .m4a, .mka, .mp3, .ogg, .opus, .wav, .wma
Bitrate plays a crucial role in determining the quality and file size of extracted audio. Common bitrate settings include: 128 kbps (standard quality, good for voice recordings), 192 kbps (medium quality, suitable for music), 256 kbps - 320 kbps (high quality, best for music and high-fidelity audio). Higher bitrates provide better sound quality but result in larger file sizes. If storage is a concern, choosing an optimal bitrate is essential.
Now, it's time to try it yourself and extract audio from videos effortlessly!
Batch Image Resizer - 100+ Formats Supported
照片与视频 ¥71.00¥35.50
In the digital era, images play a crucial role in communication, marketing, social media, websites, and even personal archiving. But often, these images come in sizes or formats that don’t match the requirements of their target platforms. Whether you’re a photographer handling thousands of RAW photos, a business owner managing product images for an e-commerce website, or a designer preparing files for print and web, resizing images in bulk becomes an essential task.
This is where a Batch Image Resizer becomes a game changer. Unlike manual resizing tools that require you to adjust each image individually, a batch image resizer allows you to process hundreds or even thousands of images at once. The resizer is not only fast but also versatile, supporting 100+ image formats to ensure seamless conversion and resizing for any project.
The tool support for various resizing methods:
➤ By Percentage: Scale images relative to their original size.
➤ By Width: Height will be auto-resized (original aspect ratio is maintained)
➤ By Height: Width will be auto-resized (original aspect ratio is maintained)
➤ By Width- Height: Resize to fixed dimensions (original aspect ratio is not maintained)
The tool supports the most commonly file types, including:
🖼️ Raster Image Formats: jpeg/jpg, png, gif, bmp …
📷 RAW Image Formats: nef, cr2/cr3, arw, orf, dng …
🎨 Vector Image Formats: ai, svg, eps …
🌐 Other or Specialized Formats: heic/heif, ico, webp, psd …
The ability to resize across these formats dramatically enhances the flexibility of your image management workflow. And here is the full list of 100+ image formats supported by the resizer:
3fr, aai, ai, apng, art, arw, avif, avs, bmp, bmp2, bmp3, cin, cr2, cr3, crw, cur, cut, dcm, dcr, dcx, dds, dib, dng, dpx, emf, epi, eps, eps2, eps3, esf, epsi, ept, ept2, ept3, erf, exr, fax, ff, fff, fit, fits, fl32, fts, g3, gif, gif87, hdr, heic, heif, hrz, icb, ico, icon, ipl, j2c, j2k, jfif, jng, jp2, jpe, jpeg, jpg, jpm, jps, jxl, k25, kdc, mac, mat, mdc, mef, mif, miff, mng, mos, mrw, mtv, nef, nrw, odd, ora, orf, otb, palm, pam, pbm, pcd, pcds, pct, pcx, pdb, pef, pes, pfm, pgm, pgx, phm, picon, pict, pix, pjpeg, png, png00, png24, png32, png48, png64, png8, pnm, ppm, ps, psb, psd, ptif, qoi, raf, ras, raw, rgb, rgf, rla, rle, rw2, rwl, sgi, six, sixel, sr2, srf, srw, sun, svg, tga, tif, tiff, tiff64, tim, vda, vicar, viff, vips, vst, wbmp, webp, wmf, wpg, xbm, xcf, xpm, xv.
To meet various needs, the tool supports multiple output formats. Users can choose the format that best suits their goal: bmp, emf, exr, gif, ico, jpeg 2000 (j2k, jp2), jpeg, jpg, pdf, png, psd, svg, tga, tiff, webp.
For output .ico format, users can pick any custom dimensions, e.g., 32×32, 64×64, 128×128, etc.
The challenge lies in maintaining image quality during resizing. A naive scaling approach can result in blurry edges, pixelation, or loss of detail. This is where interpolation methods come into play. Interpolation defines how new pixel values are calculated when enlarging or reducing an image. Different methods produce different results depending on the image content and the target use case.
By supporting multiple interpolation methods, our resizer allows users to select the method that best suits their project. One method rarely fits all needs.
Let’s break down the most widely used interpolation techniques in batch resizing:
1️⃣ Nearest Neighbor:
➤ Simplest method. Each new pixel copies the value of the closest existing pixel.
✔️ Pros: Fast, preserves sharp edges for pixel art.
❌ Cons: Produces blocky, jagged edges when enlarging.
2️⃣ Bilinear:
➤ Considers the 2×2 neighborhood of pixels and averages them.
✔️ Pros: Smoother than nearest neighbor.
❌ Cons: Slightly blurry, loses sharpness.
3️⃣ Cubic:
➤ Considers a 4×4 neighborhood for interpolation.
✔️ Pros: Produces smoother and more natural results.
❌ Cons: More computationally expensive.
4️⃣ Lanczos:
➤ Uses sinc-based filters over a larger neighborhood.
✔️ Pros: High-quality resampling with sharp detail preservation.
❌ Cons: Slower, may introduce ringing artifacts around edges.
The resizer also provides format conversion options to tailor outputs:
➤ Adjust compression levels for JPEG, IPEG 2000 or WebP to balance file size and image quality.
➤ Use lossless compression for PNG or TIFF when quality is paramount.
➤ Preserve or convert color profiles (RGB, CMYK) for TIFF.
Bulk Video & Audio Downloader
照片与视频 ¥144.00¥72.00
In today’s digital-first world, video and audio content have become the foundation of communication, learning, entertainment, and marketing. Whether on YouTube, Vimeo, Facebook, TikTok, Instagram, or streaming platforms, we engage daily with HD, Full HD, 2K, and increasingly Ultra HD (4K & 8K) media.
For content creators, students, digital marketers, educators, podcasters, and even casual consumers, there is a growing demand to download and store videos or audio files in high-quality formats — quickly, reliably, and in bulk.
This is where Bulk Video & Audio Downloader comes in — tools designed to process and download multiple media files from the internet at once, while ensuring superior resolution and fast download speeds. Unlike traditional downloaders that handle one file at a time, bulk downloaders support simultaneous or queued downloads, making them ideal for large-scale content retrieval.
The downloader supports popular platforms like Youtube, Facebook, Tiktok (no watermark), Twitter(X), Instagram, Dailymotion, Twitch, Vimeo, Soundcloud, Rumble, Bilibili, Naver tv, Nicovideo, Weibo, vk.com, ok.ru and more.
The tool supports HD, Full HD, 4K, and even 8K resolutions, depending on the original source. If video does not have specific resolution, the tool will automatically download the lower one. Default video output format is mp4. If video does not have mp4 format, the tool will download its available format.
Users can download/extract only the audio format (flac, m4a, mp3, opus, wav) from videos.
Our tool also supports subtitle downloads (srt, ass, lrc, vtt), which is crucial for accessibility, language learning, and content preservation.
Batch Image Converter - 100+ Formats Supported
照片与视频 ¥64.00¥32.00
Images are the backbone of today’s digital ecosystem. Whether you’re a professional photographer, a graphic designer, a web developer, or a casual user who simply wants to organize personal photo collections, image formats play a crucial role in how visuals are stored, shared, and displayed.
But here’s the challenge: not all platforms, tools, and devices support the same image formats. A file that works seamlessly on one operating system or software might be unreadable on another. If you’ve ever tried opening an old image file only to see an error message, you already know this pain.
That’s where the Batch Image Converter comes into play. Instead of tediously opening and converting images one by one, a batch converter automates the process, letting you transform multiple files across 100+ supported formats in just a few clicks.
The converter can handle a wide range of input image file types, including:
🖼️ Raster Formats (Pixel-based): jpg/ipeg, png, gif, bmp, tiff, …
🎨 Vector Formats (Scalable graphics): ai, svg, eps, …
📷 RAW Camera Formats (Professional photography): cr2/cr3, nef, arw, orf, raf …
🌐 Specialized/Legacy Formats: ico, psd, tga, exr …
And here is the full list of 100+ image formats suported by our tool:
3fr, aai, ai, apng, art, arw, avif, avs, bmp, bmp2, bmp3, cin, cr2, cr3, crw, cur, cut, dcm, dcr, dcx, dds, dib, dng, dpx, emf, epi, eps, eps2, eps3, esf, epsi, ept, ept2, ept3, erf, exr, fax, ff, fff, fit, fits, fl32, fts, g3, gif, gif87, hdr, heic, heif, hrz, icb, ico, icon, ipl, j2c, j2k, jfif, jng, jp2, jpe, jpeg, jpg, jpm, jps, jxl, k25, kdc, mac, mat, mdc, mef, mif, miff, mng, mos, mrw, mtv, nef, nrw, odd, ora, orf, otb, palm, pam, pbm, pcd, pcds, pct, pcx, pdb, pef, pes, pfm, pgm, pgx, phm, picon, pict, pix, pjpeg, png, png00, png24, png32, png48, png64, png8, pnm, ppm, ps, psb, psd, ptif, qoi, raf, ras, raw, rgb, rgf, rla, rle, rw2, rwl, sgi, six, sixel, sr2, srf, srw, sun, svg, tga, tif, tiff, tiff64, tim, vda, vicar, viff, vips, vst, wbmp, webp, wmf, wpg, xbm, xcf, xpm, xv.
To meet various needs, the tool supports multiple output formats. Users can choose the format that best suits their goal: bmp, emf, exr, gif, ico, jpeg 2000 (j2k, jp2), jpeg, jpg, pdf, png, psb, psd, svg, tga, tiff, webp.
For output .ico format, users can pick any custom dimensions, e.g., 32×32, 64×64, 128×128, etc.
The converter also provides format conversion options to tailor outputs:
➤ Adjust compression levels for JPEG, IPEG 2000 or WebP to balance file size and image quality.
➤ Use lossless compression for PNG or TIFF when quality is paramount.
➤ Preserve or convert color profiles (RGB, CMYK) for TIFF.