Clarivnt
Summary
You scan a box of family photos, upload the first one to a restoration tool, and the face your grandmother used to recognize comes back looking like a painting — over-smoothed, wrong bone structure, invented details where the blur used to be. Clarivnt is built around the opposite promise: faithful restoration that holds onto what the original actually recorded.
Clarivnt handles fading, scratches, blur, and face detail in a single upload-and-download loop — no software to install, no editing skill required. The workflow is three steps: upload a scan, let the AI process it, download the result alongside your untouched original. The vendor explicitly states results vary with source condition and resolution, which is the honest version of the ceiling every AI restoration tool hits. Two free credits on signup let you test against your actual photos before committing to a paid subscription. There is no API and no self-hosted path, so teams needing batch automation or integration into a broader pipeline will run into a wall fast.
Bottom line: Pick Clarivnt for processing a personal archive of faded family prints through a browser with no setup; hit the limit the moment you need programmatic batch access or custom output pipelines.
Pricing Plans
Subscription- Price
- $9.99 / month
- Free Tier
- 2 complimentary restorations when you register
Monthly Restoration
20 restoration credits every billing month. One credit restores one photo. Credits valid for 30 days, do not roll over.
- 20 restoration credits every billing month
- AI enhancement for blur, fading, scratches, and color
- Private original and restored files
- Before-and-after comparison
- Download the restored photo
View full pricing on clarivnt.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- No software installation required, so you can start from any device with a browser — no IT ticket, no compatibility check, no blocked afternoon.
- The original file stays untouched and is kept alongside the restored version, which means you never lose the source record you started with.
- No public gallery step, so your family photos are not published or indexed as part of using the service — a meaningful boundary that most general-purpose image tools do not draw.
- The AI processes fading, scratches, blur, and face detail in a single pass, so you are not manually sequencing separate tools for each damage type.
- Two free restoration credits on account creation let you test against your actual photos under real conditions before spending anything.
Cons
Sign in to edit- There is no API and no batch processing mode. A team needing to restore dozens or hundreds of images without clicking through each one individually has no path forward here — they move to a service with an API or build a pipeline around a model they call directly.
- Restoration quality is explicitly tied to source scan resolution and condition. A heavily degraded print with low scan resolution will produce a limited result, and there is no described upscaling or pre-processing step within the tool to compensate — you prepare the best scan you can before uploading, or the ceiling appears immediately.
- The credit-based subscription model means high-volume personal users — anyone working through a large family archive — will accumulate costs on a per-image basis with no described bulk or flat-rate option beyond the monthly plan, making cost unpredictable for large batches.
- No self-hosted option exists, so any team or organization with data residency requirements or policies against uploading personal images to third-party cloud services cannot use this tool at all.
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About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-28T18:37:08.816Z
Best For
Who it's for
- Users restoring personal family photos
- Monthly batch processing of multiple images
- Simple web-based photo repair without software install
What it does well
- Restoring family photo albums
- Repairing historical portraits
- Enhancing faded or scratched images
- Fixing blurry old photographs
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Frequently Asked Questions
- Is Clarivnt free?
- Clarivnt has a permanent free tier alongside paid upgrades (paid plans from $9.99 / month). You can keep using a baseline version indefinitely without paying.
- Is Clarivnt open source?
- No — Clarivnt is a closed-source tool. Source code is not publicly available.
- What platforms does Clarivnt support?
- Clarivnt is available on: Web.
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Curated lists that include this category
Clarivnt is a web-based photo restoration service from Clarivnt (the company). The core workflow: upload a JPG, PNG, or WEBP scan up to 10 MB, let the AI analyze fading, blur, scratches, face detail, and background texture, then download the restored version while keeping the original file untouched. No account setup beyond registration, no software install, and — the vendor states explicitly — no public gallery step where your photo gets published before you decide what to do with it.
The standout design decision is privacy posture. The vendor states uploaded photos do not appear in any public gallery, and the tool preserves your original file separately from the restored output. For family photos that carry personal history, that matters more than it does for stock images.
Clarivnt fits a specific scenario well: a person with a box of scanned family prints who wants to work through them a few at a time through a browser. The free tier covers two restorations, and a paid monthly subscription unlocks additional credits. Where it breaks is equally specific — there is no API, no self-hosted deployment, and no described batch processing mode. A team building a document digitization product, a genealogy platform doing bulk archive work, or any workflow needing programmatic access will exhaust what Clarivnt offers before the second sprint ends.
The vendor’s own field guide notes that restoration quality depends heavily on source scan quality and that the AI works from existing detail rather than inventing it — meaning a very degraded original will produce a limited result regardless of the tool. The comparison previews on the page are labeled as visual demonstrations, not guaranteed outcomes.