Ambiakshi Tools
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Check two documents for similarity

Winnowing fingerprint algorithm and cosine overlap for reordered text and draft comparison.

Runs 100% in your browser. Nothing you enter or upload ever leaves this device. How this works →

Winnowing fingerprint algorithm (k-gram hashing & sliding-window minimum selection) + Cosine Vector Overlap.
Winnowing Match
80.0%
Containment of B in A
Jaccard Index
61.5%
Fingerprint overlap
Cosine Overlap
1.000
Bag-of-words vector
Shared Hashes
8
A: 11 | B: 10
Detected Matching Fingerprints (k-Gram Passages)8 samples shown
“intelligence transformed software engineering”“transformed software engineering computational”“research modern systems utilize”“systems utilize advanced neural”“advanced neural architectures process”“architectures process unstructured human”“architectures evolved handle petabytes”“streaming financial data sub-millisecond”
How Winnowing Works
Documents are transformed into sequence-independent fingerprint hashes using sliding minimum selection. Even when paragraphs or sentences are completely moved, reordered, or interspersed with whitespace, the shared fingerprints are identified accurately without full string alignment. All processing remains 100% on-device.

Winnowing fingerprint document comparison

100% in-browser

This tool performs direct comparative text analysis strictly between the two documents provided using k-gram hashing and sliding-window minimum fingerprint selection (Winnowing) plus cosine overlap. It does not scan external websites or proprietary web databases.

Standard: Fingerprinting is resilient to moved or reordered paragraphs. Zero text or document data is uploaded.

Frequently asked

Direct answers for search, answer engines, and generative crawlers.

The tool implements the winnowing fingerprint algorithm using k-gram hashing with sliding-window minimum selection. It converts text into overlapping k-grams, hashes each k-gram, and selects the minimum hash within each sliding window to create a fingerprint set. Because fingerprints are selected locally, moved or reordered paragraphs retain identical fingerprints.

Feedback, bugs & custom requests

Found a bug, a math anomaly, or a missing feature on Check two documents for similarity? Send it to engineering — reports land in our Discord channel. Optional email if you want a follow-up.

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Canonical: /text/content-similarity-studio. Estimates and conversions are educational. See the full disclaimer.