Purpose-built analysis

One job, explained clearly.

SaveHawk turns a sale image into a concise review of visible presentation patterns without pretending to know facts the image cannot establish.

Photo and screenshot input

Use a store photo, shelf label, flyer, social post, or product-listing screenshot when supported by the released app.

Structured verdict

Results are organized into a score, a presentation-focused verdict, and three short reasons.

Multiple visible offers

When several offers are visible, the analysis can separate them into distinct items for review.

Plain-language findings

The experience is designed to make discount framing and pressure cues easier to notice—not to bury them in technical language.

English and Spanish

The public website launches in English and Spanish, with an architecture designed for additional reviewed translations.

User data controls

The service is designed to support data access, export, deletion, and applicable privacy choices as those flows become available in production.

What SaveHawk does not establish

  • Whether a merchant has broken a law or acted dishonestly.
  • Whether the displayed reference price was previously charged.
  • Whether a product is high quality, safe, authentic, or right for you.
  • Whether buying, waiting, or skipping will produce a financial benefit.
  • Whether every important term appears in the submitted image.