Photocopy Archive
Your photo, reproduced as a faded archive photocopy.
What it does
Reproduces your photo as an authentic xerox archive print — grayscale, toner-grained, and believably degraded while keeping every face readable.
When to use it
- Give portraits a documentary, pulled-from-the-archive feel
- Create grayscale xerox-style profile pictures and avatars
- Make event or group photos look like filed institutional records
- Build a retro analog mood without faking a torn or framed print
- Turn travel and street shots into utilitarian copied documents
- Produce moody black-and-white zine and poster source material
When not to use it
- Crisp, high-detail portraits where every pore should stay sharp
- Vivid color images that need their original palette preserved
- Clean, modern black-and-white conversions with rich tonal depth
- Photos where faces are already small, soft, or hard to make out
How it works
Upload a photo and the model rebuilds it through a photocopy pass while locking identity, pose, background, and composition to your original. It removes color down to neutral grayscale, compresses contrast into harsher graphic tones, and layers in toner grain, copier softness, dust, and faint streaking across the whole frame. The same degradation reaches faces and background alike, so the picture reads as one coherent archived copy rather than a subject pasted onto an effect.
Updates
- v1Jun 1, 2026
Initial release
Specifications
- Approach
- Reproduces your photo as a single authentic office-copier print.
- Stylization
- Grayscale toner grain, compressed graphic contrast, paper texture, soft black buildup.
- What stays
- Identity, pose, background, camera angle, framing, and overall composition.
- What changes
- Color drops to grayscale, detail simplifies, and the frame gains copier grain and degradation.
- Ideal source
- Clear, well-lit photos with readable faces and visible structure.
- Maximum input
- Up to 25 MP per image
- Supported formats
- JPEG, PNG, HEIC
- Output format
- PNG — preserves the fine toner grain and tonal edges without compression artifacts.
- Pricing
- 3 credits per image
Frequently asked questions
Will my face still be recognizable?
Yes. The model preserves each person's facial structure, expression, and likeness, then translates them through the copy process. Faces inherit toner grain and softness but stay readable, and multiple people are kept distinct without merging or swapping identities.
How strong is the effect compared to a faded photo?
It is deliberately stronger. Tonal separation is harsher and more graphic, color is removed, and you get real photocopy traits like contrast compression, soft black buildup, and copier noise. The goal is something that clearly looks copied and archived, not just slightly old.
Does it add stamps, borders, text, or paper props?
No. There are no captions, labels, handwritten notes, watermarks, logos, borders, frames, torn paper, or folder elements. It also won't stage the result as a sheet lying on a table — the photo itself is rendered as the photocopy.
What kind of photo works best?
Clear, well-lit images with readable faces and visible structure copy best. Because the medium simplifies fine detail, photos where faces are already small or soft may lose too much to stay convincing.
Will it change my background or composition?
No. The location, background, pose, camera angle, framing, and overall composition are kept from your original. The model only reproduces what's there as an archival copy — it never invents a new scene.
Can I use the result commercially?
Yes — generated images on upsa are yours to use for personal and commercial purposes. We recommend you keep the consent and rights to the source photo as well, since the output preserves the identity in it.
How long are my photos stored?
Source uploads and generated results are stored for 48 and then automatically deleted from upsa's storage. We don't train any model on your photos.
AI results vary
Each generation uses a different random seed, so your result may not exactly match the example shown. If the first try doesn't fit what you had in mind, run it again — output differs noticeably between runs.
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