Number & Currency Extractor (数字/金额提取)

Number & Currency Extractor (数字/金额提取) | Online Free Tool | Elysia Tools

Tool usage guide

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Category: Text Processing
Input types: textarea, checkbox, select, number
Output type: json
Sample coverage: 4
API ready: Yes

Overview

The Number & Currency Extractor pulls numerical values and monetary amounts from text, recognizing currency symbols like $, €, and thousand separators for accurate data retrieval.

When to use

When extracting prices or amounts from unstructured text such as emails, documents, or web pages.
For data cleaning tasks where numerical values are embedded in text and need to be isolated for analysis.
To filter extracted numbers by a minimum or maximum value to focus on relevant financial data.

How it works

1Paste or type the text containing numbers into the input field.
2Configure options: choose to include currency symbols, decimals, set the output format, and apply amount filters if needed.
3The tool scans the text and extracts all matching numbers based on your settings.
4View the extracted results in the chosen format, ready for copying or further use.

Use cases

Extracting product prices from online listings or customer inquiries for e-commerce analysis.
Processing financial statements or invoices to pull out transaction amounts for accounting purposes.
Analyzing survey responses or reports where numerical ratings or amounts are mixed with descriptive text.

Examples

1. Extracting Invoice Amounts from Emails

Accountant

Background

An accountant receives email invoices with amounts embedded in text like 'Total: $1,234.56 due by Friday.'

Problem

Manually copying amounts from multiple emails is time-consuming and prone to errors.

How to use

Paste the email text into the tool, enable 'Include Currency Symbols', and set 'Output Format' to 'Standardized'.

includeCurrency=true, includeDecimals=true, format=standardized

Outcome

All invoice amounts are extracted as plain numbers, e.g., 1234.56, ready for quick import into spreadsheets.

2. Filtering High-Value Transactions in Reports

Financial Analyst

Background

A financial report contains numerous transaction descriptions with amounts like 'Payment of €500 received' and 'Expense: €2000 for supplies'.

Problem

Need to identify only transactions above €1000 for a focused review.

How to use

Input the report text, set 'Minimum Amount' to 1000, and choose 'Raw' format to preserve original details.

FAQ

What currency symbols are supported?

Symbols like $, ¥, €, £, ₹, ¢, and ₽ are recognized in the extraction.

Can I extract only whole numbers without decimals?

Yes, by unchecking the 'Include Decimals' option, only integers will be extracted.

How does the 'Standardized' output format work?

It converts extracted amounts to plain numbers without currency symbols or thousand separators.

What if I want to exclude small amounts from the results?

Use the 'Minimum Amount' filter to set a threshold and ignore values below it.

Is the extraction case-sensitive for currency symbols?

No, the tool handles symbols regardless of case or context in the text.

minAmount=1000, format=raw

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Inputs

Result

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Overview

When to use

How it works

Use cases

Examples

1. Extracting Invoice Amounts from Emails

2. Filtering High-Value Transactions in Reports

FAQ

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