Palette FM stands out as the best photo colorizer tool right now. Professional colorists use it for Netflix shows. Japanese families trust it to restore their old photos. My tests on over 100 images prove why this tool deserves its top spot.
The tool turns black-and-white photos into colored versions within seconds. Both vintage and modern images look stunning after processing. Free users get unlimited colorizations, but I tested every feature to see if the paid options deliver extra value.
This review breaks down Palette FM’s color accuracy, interface design, and overall performance. You’ll learn exactly what this tool can do for your photos.
What is Palette FM?
Palette FM turns black-and-white photos into colored versions using AI technology. The tool processes each image in seconds, delivering vibrant results that match modern color standards.
Core features overview
The tool packs several powerful features that make photo colorization simple. My favorite feature lets users colorize over 1 million images per day through a basic script. Professional colorists love this for handling large photo collections.
Video colorization works just as smoothly. The Video API handles SD, Full-HD, and 4K footage, making it perfect for production companies and TV channels.
Developers get full access to Palette FM’s technology through the API. This means easy integration with iPhone photos, Google Drive, and other photo apps.
The tool handles high-quality images up to 4K resolution, with a 10MB size limit per photo. It works with every major image format – JPEG, PNG, TIFF, BMP, GIF, and even RAW files.
Color control options set this tool apart. Users pick from auto-generated prompts, write custom descriptions, or use reference photos for better results. Basic editing tools include color correction, white balance, and saturation controls.
The prompt generator creates 120 different color suggestions for each photo. For video projects, using previous frames as references helps maintain consistent colors throughout scenes.
Palette FM: How the AI colorizer works
Palette FM’s AI runs on a deep learning model trained with millions of photos. This training helps it identify faces, clothes, and landscapes, and apply the right colors.
The process starts with analyzing the black and white photo. This helps the AI understand what it’s looking at before adding colors.
Emil Wallner, the Swedish creator, built an AI that uses both images and text for colorization. One part creates photo descriptions, while another adds colors based on these details.
The tool suggests what it sees in each photo. Users can edit these descriptions to guide the color choices. During testing, a pumpkin photo showed this feature’s importance – the AI first saw a “claw” instead of a pumpkin. Adding the right description fixed the colors instantly.
Text descriptions make Palette FM special. The AI understands written instructions, leading to more natural-looking results. It handles skin tones, color vibrancy, and small details exceptionally well. These “little wow” moments really bring photos to life.
Speed impresses too. Each photo takes between 100-300ms to process. This quick turnaround lets users try different color combinations easily.
Remember though – the colors aren’t historically accurate. The AI makes smart guesses based on its training, but can’t know the exact colors from old photos.
Still, Palette FM leads the pack in AI colorization. Whether you’re fixing family photos or working on professional projects, the tool delivers impressive results. It makes advanced photo colorization available to everyone, changing how we preserve and reimagine old pictures.
My Testing Methodology
Testing 100+ photos showed me exactly what Palette FM can do. My results reveal the tool’s real strengths and limits across different photo types.
100+ images tested
The test included over 100 images from various time periods and styles. This large sample size helped me spot patterns in how the AI handles different photos.
Palette FM’s bulk processing capabilities proved excellent for large photo sets. The tool handled multiple photos at once, saving hours of work. Photo archives and professional colorists benefit most from this feature.
Palette FM: Image types and categories
My photo collection covered 10 key categories:
- Historical photographs – Testing how the AI handles different periods
- Portraits – Checking skin tone accuracy and facial details
- Landscapes – Looking at nature colors and scenery
- Urban scenes – Testing building details and city environments
- Still life – Examining texture and material colors
- Action shots – Checking motion and clarity
- Abstract art – Testing unusual compositions
- Vintage ads – Looking at graphic elements
- Family photos – Testing everyday scenes
- Professional shots – Examining high-end photography results
Each category revealed different aspects of Palette FM’s capabilities.
Testing criteria
My testing focused on 11 key areas:
- Color accuracy – How well colors match real-world references
- Color consistency – Whether similar photos get similar colors
- Detail preservation – Keeping sharp details from originals
- Tough elements – Handling glass, metal, and complex patterns
- Color harmony – Overall look and balance
- Skin tone accuracy – Natural-looking results across ethnicities
- Historical accuracy – Period-appropriate color choices
- Image quality handling – Results with good and poor photos
- Customization options – Testing user controls
- Processing speed – Timing each conversion
- Video consistency – Frame-to-frame color matching
The tool’s 21+ color filters helped test different looks. Its prompt generator created 120 options per photo, showing how text descriptions change results.
I watched for those “little wow” details that make photos pop. While colors looked realistic, they weren’t always historically accurate. The AI makes smart guesses but can’t know the true colors of old photos.
This thorough testing shows where Palette FM shines and where it needs work. The results help both casual users and professionals know what to expect.
Basic Features Overview
Palette FM packs powerful features into a simple interface. The tool makes photo colorization easy for both beginners and experts.
Upload process
Getting started with Palette FM takes seconds. Click the “Upload Image” button or drag files directly onto the page. The tool handles multiple photos at once through bulk uploads.
File support stands out as a major strength. The tool works with JPEG, PNG, TIFF, BMP, GIF, and even RAW files. Users can upload any photo type, from old scans to new digital shots.
Photo quality options impress too. The tool handles 4K resolution images perfectly. Each file needs to stay under the file size limit of 10MB. Most photos fit this limit easily.
The AI starts working right after upload. It checks every part of your photo to plan the colors. Each image takes just 100-300 milliseconds to process.
Colorization options
Palette FM gives users 21 different color filters to try. Each filter creates natural, vivid colors that make photos pop.
The AI reads your photo and suggests color descriptions. You can edit these suggestions to get exactly the colors you want. The prompt generator creates 120 different color options for each photo.
Reference photos help get colors exactly right. Upload a similar colored photo, and the AI matches those colors. This works great for historical photos or specific color schemes.
Basic editing tools round out the features. Auto color correction, white balance, and saturation controls help perfect every detail. The AI handles skin tones and tiny details with impressive accuracy. These “little wow” moments really make photos come alive.
Video colorization works through the Video API beta. It handles SD, Full-HD, and 4K video. For best results, use previous frames as references to keep colors consistent.
Remember though – while colors look realistic, they might not match history exactly. The AI makes smart guesses but can’t know the true colors of old times.
The interface offers quick filters like “Faded Elegance” and “Lively Floral”. For more control, click the pencil icon to edit text description details.
Power users love the bulk processing feature. One script can handle over 1 million photos daily. The API lets developers add Palette FM to their own apps.
My tests show Palette FM strikes the perfect balance. The AI works fast but gives users full control. Whether you’re fixing family photos or handling professional projects, these features deliver impressive results.
User Interface Experience
Palette FM’s clean interface ranks among its best features. The simple design puts professional colorization tools right at your fingertips.
Palette FM: Dashboard layout
The main dashboard keeps things simple yet powerful. The “APP” button sits ready in the corner. Your photos take center stage in the middle, with all controls neatly organized on the right.
Twenty unique color filters line the right panel. Quick access pins let users save their favorite filters for faster editing.
The dashboard connects straight to iPhone photos and Google Drive. Bulk uploads work smoothly too – multiple photos process at once without cluttering the workspace.
Navigation ease
Moving around Palette FM feels natural. The “New” button at the bottom starts each project. Every colorization option sits within easy reach on the right panel.
Filters show changes instantly on your photos. The download button waits at the bottom, ready to save your work.
Text descriptions give precise control over colors. Change these descriptions anytime to guide the AI toward your perfect result.
The interface stays quick even with multiple photos running. Each colorization finishes in 100-300 milliseconds. No lag, no waiting.
Video projects get their own controls through the Video API integration. SD to 4K videos process smoothly. Everything stays simple whether you’re editing one photo or processing hours of video.
Clear labels on every tool remove the usual photo editor learning curve. First-time users and pro colorists both get straight to work without confusion.
