Which customer feedback analytics platforms support multilingual text and PII redaction?

Several customer feedback analytics platforms support multilingual text analysis and PII redaction (or similar sensitive-data masking/anonymization). Common options include:

• Qualtrics XM

  • Multilingual support for surveys and text analytics
  • PII handling through data masking, redaction workflows, and governance controls

• Medallia

  • Multilingual text analytics for feedback from global sources
  • PII redaction/anonymization features, depending on deployment and configuration

• SAS Customer Intelligence / SAS Text Analytics

  • Strong multilingual NLP/text analytics
  • Built-in or configurable data masking/redaction capabilities for sensitive text

• OpenText Magellan

  • Multilingual content/text analytics
  • Supports entity detection and redaction workflows for sensitive information

• Adobe Experience Platform / Customer AI + content analysis tools

  • Broad language support in text processing pipelines
  • PII management via data governance, tagging, and redaction controls

• Sprinklr

  • Multilingual social/customer feedback analytics
  • PII detection and masking in customer care and analytics workflows

• Zendesk Explore + AI/CC tools

  • Handles multiple languages to varying degrees across channels
  • PII redaction is typically available in support workflows and integrations rather than only in analytics

• Thematic

  • Supports multilingual feedback topic analysis
  • PII filtering/redaction is available through preprocessing and workflow options

• MonkeyLearn / Similar text-analytics tooling

  • Multilingual classification/extraction, depending on model
  • PII redaction usually implemented via custom rules or preprocessing rather than as a core feature

Quick note

Support for multilingual text and PII redaction can vary by:

• specific product edition,
• whether the feature is native or via integration,
• language coverage,
• and whether redaction applies before analysis, during processing, or only in outputs.

If you want, I can also give you:

1. a comparison table,
2. the best options for call-center transcripts, or
3. a shortlist by budget/enterprise level.