# Redact company names

> Redact organisation and employer names where the counterparty itself is confidential.

Canonical: https://bitbanger.in/entities/company-name
Last updated: 2026-10-27

Category: Organisations · Entity type: `org.company_name`

Company names are not personal data, but in deal documents, salary benchmarks, and incident reports they are often the most commercially sensitive thing on the page.

## How Redactly detects company names

- Detected by the model from the surrounding text.
- Spans are extended across contiguous word characters so suffixes such as Ltd or GmbH stay attached.
- Runs alongside identity.person_name without either suppressing the other.

## Why redact company names?

Customer lists and deal terms are among the most commonly leaked commercial secrets in support exports.

## Example request

```bash
curl -X POST https://api.bitbanger.in/v1/redact \
  -H "X-API-Key: rdct_your_key_here" \
  -H "Content-Type: application/json" \
  -d '{"text": "Customer: Northwind Trading Ltd, renewal value $48,000.", "style": "replace"}'
```

## FAQ

**Does Redactly redact company names automatically?**

Yes. Send text to the API and every detected type is redacted, including company names. To redact only this type, pass the value org.company_name in the entities filter. No training or configuration is required.

**What happens to company names after redaction?**

With style set to replace, each match becomes [org.company_name] — the entity type in square brackets. Setting style to mask replaces every character with a block character, and remove deletes the span entirely.

## Related entity types

- [Person names](https://bitbanger.in/entities/person-name) — Redact personal names from free text, including partial names the model only half-captures.
- [Monetary amounts](https://bitbanger.in/entities/amount) — Redact prices, salaries, balances, and invoice totals in multiple currencies from text and tabular data.
- [Email addresses](https://bitbanger.in/entities/email) — Redact email addresses from text, JSON, and CSV with one HTTP call. Returns exact character offsets and keeps your structure intact.

Try it on your own text: https://bitbanger.in/entities/company-name