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Smartly bulk parse unstructured addresses to extract names, phone numbers, states, cities, and detailed addresses, boosting your data processing efficiency.
Enter one address per line. We'll automatically extract name, phone, province/state, city, district/county, detailed address, postal code, and more.
Paste multiple addresses to start batch parsing.
Overview
Understand what the tool solves, how it works, and the boundaries of its data.
This batch page attempts to split Chinese address text into name, phone, province, city, district or county, detailed address, postal code, and recognizable identity-number text. It relies on Chinese administrative-area names and visible text patterns; it does not look up an address or verify that a recipient, phone number, postal code, or delivery point is real. Missing or unfamiliar pieces may remain in the detail field, and absent data is not filled from a postal database.
The intended English-reading user may be maintaining records for a Chinese service, network, or text workflow. Chinese source text must be reviewed alongside each parsed row; the English UI does not establish global-address coverage or general English-address parsing ability.
The table separates name, phone, region, detail, and postal code. Recognized identity-number text can also appear in the detail area and Excel export. Copy output is a text list; the workbook separates name, phone, province, city, district, detailed address, postal code, and identity-number text.
Choose no deduplication, phone, name, or name-plus-phone. For nonempty selected keys, the first row is retained; rows with an empty key remain. The batch parse action can require advanced access.
Guide
Follow the workflow and verify inputs and outputs with practical examples.
Keep each recipient’s Chinese name, contact, and address together. Preserve province, city, district, street, and building wording where available.
Paste the list into the address field and start parsing. Review the resulting rows and recognized columns.
Check regional and detail fields, contact information, and any postal or identity-number text. Correct misplaced or incomplete values before using them.
Select a key if needed, then copy the list or export the workbook. Inspect its columns before storing or sharing it.
Use cases
See how the tool fits into real work and everyday tasks.
An operations developer can turn pasted Chinese recipient lines into columns for a shipping workflow, then check street and building details before handoff.
A team can compare records by phone, name, or both while retaining the first match and preserving rows with missing keys.
A data maintainer can export separated fields, inspect the results, and correct them before loading them into another system.
Q&A
Find concise answers to common questions and confusing cases.
The supported field patterns are for Chinese address text. The page does not establish general international address coverage.
The source may omit a recognized name, use an unfamiliar abbreviation, or differ from the patterns the parser recognizes. Review the input and edit the field yourself.
No. A row missing the selected key is kept. For nonempty matching keys, only the first result remains in the deduplicated view.
No. It is text extraction only and does not establish validity or identity.
Notes
Review scope, result limitations, and important precautions before use.
Parsing is not postal validation, geocoding, identity verification, or proof a shipment can be delivered. A region may be missed or misassigned. Check the original address and confirm complete delivery details before dispatch. Names, phone numbers, addresses, postal codes, and identity-number text can be sensitive; handle only records you are authorized to process and inspect export columns and access before sharing. No data-retention or transmission guarantee was established in this review.
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