Reading and translation by the AI, like processing on our server, happen only once, in the first year. After that, only keeping the photos remains: over five years, 92 g, or 18 g per year on average.
Not counted:your computeryour camerayour connection
The calculation for 1,000 pages
1,000 pages read, translated into one language and kept for five years
The same work done differently, per year on average · 1,000 pages
| Approach | CO₂e per year | What is counted |
|---|---|---|
| wondarchive | 18 g | Reading, translation, server and storage. |
| The same work with an AI hosted in the United States | 50 g | Reading, translation, server and storage, with American electricity. |
The detail for wondarchive, over the whole period · 1,000 pages
| Item | CO₂e |
|---|---|
| Reading by the AI | 44.8 g |
| Translation | 20.8 g |
| Server | 1 g |
| Photo storage | 25.5 g |
| Over the whole period | 92.1 g |
Estimate, not measurement: each factor and its source are given below. Every figure is for 1,000 pages; the average per year divides the five-year total by five, first year included.
What we do, and what you can check
A page is read only once
Each photo carries a fingerprint: sent twice, it is neither uploaded nor read again. A page already read is never re-read automatically; a new reading is something you ask for, and anything corrected by hand is spared by default.
A light model first
Printed and typewritten pages are read by a light AI model. A heavier model re-reads only handwriting and doubtful pages: 12% of pages.
No needless call
A page already written in your language, or without text, is not translated.
A light reading image
The reading view shows a 2,400-pixel WebP copy, the gallery 320-pixel thumbnails. The original, at full definition, is transferred only in full screen and on export. Images stay for a year in your browser’s cache.
Calculate once, read afterwards
Dates, names, places and indexes are calculated once, at processing. A search keeps its result for a year: running it again re-reads only the pages changed since.
A site without extras
Static pages, no framework, no advertising tracker or third-party content delivery network; the fonts are hosted by us.
What still costs, and why we keep it
- The original at full resolution is sent to the model. We measured that a reduced image degrades the reading of double pages: we kept the quality.
- Handwriting goes through a heavier model. It is the one that reads it correctly; it is used only for those pages.
- Your originals are kept in three copies, in three data centres in Paris. A loss would be permanent: we triple the storage rather than risk it.
And on your side
- Sort before importing: bursts, blurred photos and duplicates cost the same as the others.
- One offline copy rather than four online. Keep a backup of your own, on a drive, and avoid syncing the same photos to several clouds.
- Do not rerun a reading without reason: correcting a line by hand costs less than a re-reading.
Never delete your only copy: our originals are not versioned, a deleted page is deleted permanently.
The method
The AI’s CO₂e is calculated by multiplying two lines: the energy of one reading (Wh) by the CO₂e per kWh of the electricity that powers the AI. They are not two items that add up.
| Item | Value used | Source |
|---|---|---|
| Energy of one AI reading or translation (Wh) | 0.25 Wh per reading, 0.13 Wh per translation (0.1 to 0.4 Wh) | Measured on our side: ≈ 3,700 tokens read and 1,600 written for a reading, 1,800 and 870 for a translation. Energy of a small model per token, increased by half for the data centre; same order as the estimates by Epoch AI (2025) and as the measurements published by AI providers (≈ 0.24 Wh for a median query). |
| CO₂e per kWh of the electricity that powers the AI | 160 g CO₂e/kWh | Electricity of the provider’s European data centres. |
| Our server | ≈ 1 mg per page processed; ≈ 15 kg CO₂e per year of operation, whatever the volume | Measured on our server: image preparation and reading orientation, 9 seconds of processor time per page. Shared virtual server at OVHcloud, PUE 1.26 (OVHcloud, 2025), French electricity at 52 g/kWh (ADEME). The fixed cost (share of a machine and manufacturing) is not allocated to the pages. |
| Our storage | 1.5 kg CO₂e per TB per year (three copies) | Data-centre drives (Seagate Exos X20, ISO 14040/14044), French electricity. |
| Electricity in the United States | 370 g CO₂e/kWh | National average of the American grid. |
| Cloud in the United States | 5.4 kg CO₂e per TB per year | Same data-centre drives, American electricity, three copies. |
| Car | 108 g CO₂/km | 2026 malus threshold. |
| Electric oven | 104 g CO₂e per hour | 2 kWh (2,000 W) at 52 g/kWh. |
| 10 W LED bulb | 0.52 g CO₂e per hour | 10 Wh at 52 g/kWh. |
Measured on our side over thirty days: 30,403 pages, 2.85 MB per original. We offset nothing and we do not call the service “neutral”: it emits, here is how much.
See it on your own pages
A hundred pages transcribed and translated, for a year, no card required.