🖼️ Vintage Photo Restorer

🚀 Restore old and damaged photographs in seconds. Fix yellowing, tears, scratches, fades. Optional colorization. No Photoshop, no manual retouching.

Restore vintage and damaged photos with AI. Upload old, faded, torn, or stained photographs and the actor returns a clean, restored version. Choose a restoration style (full recovery, time-degradation, physical-damage, scratch removal, fade correction, etc.), optionally colorize black-and-white originals, and pull the output as a structured record per image. Built for family-photo archiving, museum and library collections, historical research, content production, and personal preservation projects.

The output is a structured record per input image with the input URL, restored URL, restoration style, recolor style, and a timestamp. Hand the dataset off to your archive, gallery, or downstream image pipeline.

👥 Built for	🎯 Primary use cases
Family historians and genealogists	Preserve and restore family photo archives
Museums and libraries	Digitize and restore historical collections
Photographers	Restore client family photos at scale
Content creators	Use restored photos in documentaries and articles
Researchers	Recover detail in historical visual records
Print-on-demand businesses	Build restored-photo product offerings

📋 What the Vintage Photo Restorer does

• 🔧 10 restoration styles. Auto, full-recovery, time-degradation, physical-damage, color-restoration, contrast-enhancement, scratch-removal, stain-removal, fade-correction, noise-reduction.
• 🌈 Optional colorization. Auto, natural, vibrant, vintage, warm, cool, cinematic, pastel, sepia, or keep black-and-white.
• 🖼️ Multi-image batch. Upload multiple photos in one run.
• 📏 Format-preserving. Output matches input format (JPG, PNG, WebP) and resolution.
• 🆔 Back-reference. Every record links back to the original image URL.
• ⏱️ Timestamp. Every record carries a timestamp field with the time the restoration was produced.

The actor processes uploads in the order you provide them. Each restored image is saved to your run's key-value store and the URL is returned in the dataset.

💡 Why it matters: professional photo restoration costs $30-100 per image and takes hours of manual retouching. AI-driven restoration delivers comparable quality in seconds, making it practical to digitize and restore entire family archives or museum collections.

📊 Data fields

Each record includes: inputImageUrl, processingTime, restoredImageUrl, timestamp. All 4 field names come from a real production run, so what you see here is what lands in your dataset.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Vintage Photo Restorer page on the Apify Store.
3. 🎯 Upload photos. Drop your old photos and pick a restoration style + colorization style.
4. 🚀 Run it. Click Start and let the Actor restore each image.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to first restored photo: 3-5 minutes for a single image.

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💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

⚠️ Disclaimer. This Actor is an independent tool. The actor processes only images you supply by URL and is intended for legitimate restoration, archival, and content workflows. Users are responsible for ensuring they hold the rights to the source photos and for compliance with copyright, IP, and licensing laws in their jurisdiction.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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