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Use AI to recognize license plate numbers and origins from images. Supports multiple plate types and input formats.
Enter text to start extraction
Overview
Understand what the tool solves, how it works, and the boundaries of its data.
Paste text containing vehicle records and the extractor searches it for strings matching its configured mainland China plate pattern. It looks for a province or special-use prefix, one or two uppercase Latin letters, five letters or digits, and an optional final letter/digit or special-use suffix. For example, 京A12345 and 粤B12345D are pattern examples.
This is text matching, not image recognition. The official public-security industry standard GA 36-2018 specifies motor vehicle plate formats; the standard platform lists it as current. A text pattern can help locate candidates, but matching text alone does not certify that a string conforms to every official plate category or corresponds to a registered vehicle.
Guide
Follow the workflow and verify inputs and outputs with practical examples.
Include one or more records, notes, or lines in the input area. You can leave surrounding words and punctuation in place; the tool searches within the text.
Duplicate removal is on by default, so repeated strings appear once. Turn it off to preserve each match. If you also enable frequency grouping, repeated values are shown with their occurrence count.
Check the count and compare candidates with the original context. Copy the displayed results when ready.
For example, the text Gate: 京A12345; review: 京A12345; log: 粤B12345D yields two unique strings with the default de-duplication setting. With duplicates retained and frequency grouping enabled, the first string is shown with a count of two.
Use cases
See how the tool fits into real work and everyday tasks.
Extract likely plate strings from long entry or dispatch notes, then compare each candidate against the source record before updating a vehicle list.
A team taking over pasted inspection notes can make a quick candidate list and use frequency grouping to see which strings recur in the text.
Q&A
Find concise answers to common questions and confusing cases.
No. It scans pasted text only. Use text from an existing record; no OCR or image input is provided here.
The configured pattern is case-sensitive for Latin letters and expects the prefix and character sequence to be contiguous. Check for lowercase letters, spaces, line breaks, or OCR substitutions within the string.
Yes. It can return multiple matches. By default duplicates are removed; turn that option off and enable frequency grouping to see counts for repeated strings.
No. It only means the text matched the configured pattern. It does not check registration, current status, owner, or vehicle records.
Notes
Review scope, result limitations, and important precautions before use.
Pattern matching can produce false positives from ordinary text and miss valid-looking strings when characters or spacing differ. Plate formats include special categories and the matching rule is a practical filter rather than a complete standards validator. Compare extracted items with the original text and consult the current official standard when formal compliance matters. Treat real plate numbers as potentially sensitive operational data and share only what the task requires.
Related
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