How to Use Our AI Tools

Master our free AI image processing tools with detailed step-by-step guides. Learn professional techniques, best practices, and troubleshooting tips to get perfect results every time.

📚 Detailed Guides💡 Pro Tips🔧 Troubleshooting⚡ Best Practices

Choose Your Tool

🎨

Convert to Grayscale

Transform your color images to elegant grayscale with professional quality.

📊 Easy⏱️ < 1 minuteTry Now →

Step-by-Step Guide

1
Upload Your Image

Click the upload area or drag and drop your image file. Supports JPEG, PNG, GIF, BMP, and WebP formats up to 10MB.

💡 Pro Tips:

  • Higher resolution images produce better results
  • Ensure good contrast in your original image
2
Preview the Result

The grayscale conversion happens instantly. You'll see a side-by-side comparison with the original image.

💡 Pro Tips:

  • Check the preview carefully for any quality issues
  • The conversion preserves all image details
3
Download Your Image

Click the download button to save your grayscale image in high quality.

💡 Pro Tips:

  • The output format matches your input format
  • No quality loss during conversion

Best Practices

  • Use high-contrast color images for the best grayscale results
  • Images with distinct color separations work particularly well
  • Professional photos typically convert better than screenshots

🔧Troubleshooting

  • If the image appears too dark, try adjusting brightness before conversion
  • For very large images, conversion may take a few extra seconds
  • Animated GIFs will be converted to static images
👤

Blur Faces for Privacy

Automatically detect and blur faces in photos to protect privacy.

📊 Easy⏱️ 1-2 minutesTry Now →

Step-by-Step Guide

1
Upload Your Photo

Select an image containing faces. The AI works best with clear, well-lit photos where faces are clearly visible.

💡 Pro Tips:

  • Ensure faces are not too small (at least 50x50 pixels)
  • Good lighting improves face detection accuracy
2
AI Face Detection

Our MediaPipe AI automatically detects all faces in the image. This process takes a few seconds.

💡 Pro Tips:

  • The AI can detect multiple faces simultaneously
  • Profile views and partial faces are also detected
3
Adjust Blur Settings

Customize the blur intensity and shape to match your privacy needs.

💡 Pro Tips:

  • Higher blur values provide more privacy but may look less natural
  • Different blur shapes (Gaussian, Motion) create different effects
4
Download Protected Image

Save your privacy-protected image with faces automatically blurred.

Best Practices

  • Use well-lit photos with clearly visible faces for best detection
  • Front-facing and slightly angled faces work best
  • Test different blur intensities to find the right balance

🔧Troubleshooting

  • If faces aren't detected, ensure they're large enough and well-lit
  • Very dark or heavily shadowed faces may not be detected
  • Sunglasses or face coverings may affect detection accuracy
✂️

Remove Background with AI

Professional background removal using advanced RMBG-1.4 AI model.

📊 Medium⏱️ 30-60 secondsTry Now →

Step-by-Step Guide

1
Choose Your Image

Upload an image with a clear subject and distinct background. Portrait photos and product images work exceptionally well.

💡 Pro Tips:

  • Clear subject-background separation improves results
  • Avoid cluttered or busy backgrounds when possible
2
Select Processing Mode

Choose between AI-powered RMBG-1.4 model (recommended) or traditional color-based removal.

💡 Pro Tips:

  • AI mode provides professional-grade results for most images
  • Traditional mode works well for simple, solid-colored backgrounds
3
AI Processing

The AI model analyzes your image and precisely removes the background. First-time use may take 30-60 seconds for model download.

💡 Pro Tips:

  • The model is cached after first use for faster processing
  • Complex images with fine details take longer to process
4
Review and Download

Examine the result with transparent background and download in PNG format with alpha channel.

💡 Pro Tips:

  • PNG format preserves transparency
  • Check edges carefully for any imperfections

Best Practices

  • Use high-resolution images for best edge quality
  • Ensure good contrast between subject and background
  • Portrait photos and product shots typically give excellent results
  • Avoid images with hair blowing in wind or very fine details

🔧Troubleshooting

  • If edges look rough, try a higher resolution source image
  • For hair and fine details, manual touch-up may be needed
  • Very busy backgrounds may confuse the AI - try traditional mode
  • Transparent or reflective objects may not be handled perfectly
🔍

AI Image Classification

Analyze and categorize images using advanced Vision Transformer models.

📊 Medium⏱️ 10-30 secondsTry Now →

Step-by-Step Guide

1
Upload Your Image

Select any image you want to classify. The AI can recognize thousands of objects, animals, scenes, and concepts.

💡 Pro Tips:

  • Clear, well-composed images get more accurate classifications
  • The AI works with any subject matter - objects, animals, scenes, people
2
Choose AI Model

Select between Vision Transformer (ViT) for general accuracy or ResNet for speed. ViT is recommended for most use cases.

💡 Pro Tips:

  • ViT provides more accurate results but takes slightly longer
  • ResNet is faster but may be less accurate for complex images
3
AI Analysis

The model analyzes your image and provides top 5 classification results with confidence scores.

💡 Pro Tips:

  • Higher confidence scores indicate more certain classifications
  • Multiple related classifications often appear in the results
4
Review Results

Examine the classification results, confidence scores, and use the threshold slider to filter results.

💡 Pro Tips:

  • Adjust the confidence threshold to see more or fewer results
  • Results are color-coded for easy interpretation
5
Batch Processing (Optional)

Process multiple images at once using the batch mode for efficient analysis.

💡 Pro Tips:

  • Select multiple files to analyze them sequentially
  • View progress and results for each image individually

Best Practices

  • Use clear, well-lit images with obvious main subjects
  • Single-subject images typically get more accurate classifications
  • Try both AI models to see which works better for your specific images
  • Use batch processing for analyzing multiple similar images efficiently

🔧Troubleshooting

  • Blurry or very dark images may get poor classification results
  • Abstract art or unusual angles may confuse the classification
  • If results seem wrong, try cropping to focus on the main subject
  • Very cluttered images may get generic classifications
📝

OCR Text Recognition

Extract text from images using state-of-the-art TrOCR and Pix2Struct models.

📊 Medium⏱️ 20-45 secondsTry Now →

Step-by-Step Guide

1
Prepare Your Image

Upload an image containing text. Works with documents, screenshots, photos of signs, handwritten notes, and more.

💡 Pro Tips:

  • Ensure text is clearly visible and well-lit
  • Straight, unrotated text works best
  • High contrast between text and background improves accuracy
2
Select OCR Model

Choose TrOCR for handwritten and printed text, or Pix2Struct for documents and structured text.

💡 Pro Tips:

  • TrOCR excels at handwritten text and natural images
  • Pix2Struct is optimized for documents and screenshots
3
AI Text Extraction

The AI model processes your image and extracts all readable text. First use requires model download.

💡 Pro Tips:

  • Processing time varies based on image complexity and text amount
  • The model learns from context to improve accuracy
4
Review and Edit

Check the extracted text for accuracy and make any necessary corrections in the text editor.

💡 Pro Tips:

  • The AI is highly accurate but may make mistakes with unclear text
  • You can edit the text directly in the results panel
5
Copy or Download

Copy the text to clipboard or download as a text file for further use.

💡 Pro Tips:

  • Use the copy button for quick clipboard access
  • Download as .txt file for longer documents

Best Practices

  • Use high-resolution images with clear, readable text
  • Ensure good lighting and avoid shadows on text
  • Straighten rotated or skewed text before processing
  • For handwritten text, ensure neat, legible handwriting
  • Documents should have good contrast between text and background

🔧Troubleshooting

  • If text accuracy is poor, try adjusting image brightness/contrast
  • Very small text may not be recognized - try zooming in first
  • Curved or heavily distorted text may need manual correction
  • Multiple languages in one image may reduce accuracy
  • Decorative fonts or very stylized text may not be recognized
🎯

Object Detection & Analysis

Detect and identify objects in images using DETR model with 91 COCO object classes.

📊 Advanced⏱️ 30-60 secondsTry Now →

Step-by-Step Guide

1
Upload Your Image

Select an image containing objects you want to detect. The AI can identify 91 different object types.

💡 Pro Tips:

  • Clear images with distinct objects work best
  • Good lighting helps with accurate detection
  • The AI can detect multiple objects simultaneously
2
AI Object Analysis

The DETR model analyzes your image and identifies all recognizable objects with bounding boxes.

💡 Pro Tips:

  • Processing includes model download on first use
  • Complex scenes with many objects take longer to analyze
3
Adjust Detection Settings

Use the confidence threshold slider to filter results and select specific object classes to display.

💡 Pro Tips:

  • Higher thresholds show only high-confidence detections
  • Lower thresholds may show more objects but with less certainty
  • Filter by object class to focus on specific items
4
Review Detections

Examine the bounding boxes, labels, and confidence scores for each detected object.

💡 Pro Tips:

  • Color-coded bounding boxes help distinguish different objects
  • Confidence percentages indicate detection certainty
  • Click on objects to see detailed information
5
Export Results

Download detection results in JSON or CSV format for further analysis or documentation.

💡 Pro Tips:

  • JSON format includes detailed coordinates and metadata
  • CSV format is ideal for spreadsheet analysis
  • Results include object counts and statistics

Best Practices

  • Use well-lit images with clearly visible objects
  • Avoid very cluttered scenes for best individual object detection
  • Objects should be reasonably sized (not too small in the image)
  • Good contrast between objects and background improves detection
  • Try different confidence thresholds to optimize results for your use case

🔧Troubleshooting

  • Very small objects may not be detected - try higher resolution images
  • Partially obscured objects may not be recognized
  • Unusual angles or lighting may affect detection accuracy
  • Objects not in the 91 COCO classes won't be detected
  • Very cluttered images may have overlapping bounding boxes

General Tips for Best Results

Image Quality Tips

  • Use high-resolution images (at least 800x600 pixels) for best results
  • Ensure good lighting and avoid heavy shadows
  • Keep file sizes under 10MB for optimal processing speed
  • Use clear, focused images without blur or motion artifacts

Performance Tips

  • Use Chrome or Edge browsers for best WebGPU acceleration
  • Close unnecessary browser tabs to free up memory
  • First-time AI model loading takes longer but subsequent uses are fast
  • Ensure stable internet connection for initial model downloads

Ready to Start Processing?

Now that you know how to use our tools effectively, try them out and see the amazing results you can achieve.