Business Card (OCR fixture)
A rendered business card with a name, title, company, email, phone, and address, paired with a matching vCard so you can measure OCR and contact-extraction accuracy against a known ground truth.
Specifications
- Width
- 900
- Height
- 500
- Fields
- name, title, org, email, phone, address, url
- Note
- text matches the paired vCard
- Alt Text
- A rendered business card with a name, title, company, email, phone, and address
- Alt Text Source
- description
Testing contract
Expected to pass- Scenario
- Exercise Business Card (OCR fixture) in its ocr workflow. A rendered business card with a name, title, company, email, phone, and address, paired with a matching vCard so you can measure OCR and contact-extraction accuracy against a known ground truth.
- Expected result
- Decoded geometry is 900×500 pixels in RGB mode; frame count is 1. Declared feature checks: fields=name, title, org, email, phone, address, url. The declared comparison counterpart is img-ocr-vcf; preserve the stated difference instead of expecting the container bytes to match.
What is a .png file?
PNG (Portable Network Graphics) is a raster image format using lossless DEFLATE compression. It supports full 8- or 16-bit-per-channel truecolor, palette, and greyscale modes with an optional alpha channel, but no animation. It is the standard choice for screenshots, logos, and graphics with sharp edges or transparency.
How to use this file
Use an example PNG to test image decoders, alpha-compositing, thumbnail generators, and format converters, or to verify that a pipeline preserves transparency and color depth on round-trip.
How to use this file for testing
“Business Card (OCR fixture)” is a deterministic Testaroo fixture for OCR testing, Contact parsing. Image-only 'scanned' documents paired with their text source, for measuring OCR accuracy against a known ground truth.
Documented properties for this file: 900×500. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.
For image AI or enhancement tools, run the model or filter on this file and diff against the clean or ground-truth companion in the same group when available. Keep seeds and documented damage parameters in your evaluation notes so regressions are attributable.
Run OCR on the scanned or image twin and score the output against the searchable or text ground truth on this page; the documented rotation, grain, and text content are the reference.
Code examples
<img src="business-card.png" alt="Example image" width="640" loading="lazy">Generated by generation/images_realworld.py. Free for any use, no attribution required, license.
Related files
- pngdelivery (gaussian blur)A delivery typeset over a synthetic photographic background, gaussian blur. Softened by a recorded Gaussian radius, which is what an out-of-focus capture looks like. 29 words, each with an exact bounding box in the companion JSON.
- pngdelivery (low contrast)A delivery typeset over a synthetic photographic background, low contrast. Gain and offset applied so the text sits close to the ground, which is where thresholding fails. 29 words, each with an exact bounding box in the companion JSON.
- pngdelivery (rotated -7 degrees)A delivery typeset over a synthetic photographic background, rotated -7 degrees. Rotated, with every word box rotated with it, so skew correction can be scored rather than eyeballed. 29 words, each with an exact bounding box in the companion JSON.
- pngdelivery (rotated +3 degrees)A delivery typeset over a synthetic photographic background, rotated +3 degrees. A slight skew of the kind a phone photo of a docket actually has. 29 words, each with an exact bounding box in the companion JSON.
- pngdelivery (sensor noise)A delivery typeset over a synthetic photographic background, sensor noise. Additive noise at a recorded sigma, as a dim-light capture would carry. 29 words, each with an exact bounding box in the companion JSON.
- pngdelivery (undistorted)A delivery typeset over a synthetic photographic background, undistorted. Straight-on and undamaged, the baseline every other variant in this group is measured against. 29 words, each with an exact bounding box in the companion JSON.
