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SPECIFICTION
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AnteRedact vs GoCalma

AnteRedact

ante.dk

GoCalma

github.com

Side by side

FigureAnteRedactGoCalma
Price from—Free
Free plan—Yes
Free trialYes—
Open source——
WebYesYes
WindowsYes—
APIYes—
Self-hostedYesYes
Plans published21
Spec score · Document Redaction Software8.0 (#10)7.8 (#14)
LanguagesDetection supports 14 European languages, and OCR for scanned documents supports seven languages.The listed interface and OCR languages are English, German, French, Italian, and Spanish.
PurposeAnteRedact uses AI to find and irreversibly redact personal data in documents, from single files to large collections.GoCalma detects and redacts sensitive information in PDFs in the browser without sending document contents to a server.
SecurityThe maker says its cloud service is hosted in the EU, documents are not used for model training, and data is encrypted in transit and at rest.The repository states that .gocalma key payloads use AES-GCM encryption and that redaction scrubs PDF author, title, and timestamp metadata.

Plans

AnteRedact

  • Redact AssistedPriced on request
  • Redact FoldersPriced on request

AnteRedact pricing →

GoCalma

  • Open-sourceFree

GoCalma pricing →

In their own words

AnteRedact

AnteRedact has no write-up on Specifiction yet; its figures are above.

Visit ante.dk

GoCalma

GoCalma is open-source browser software for detecting and redacting sensitive information in PDF files without sending document contents to a server. It identifies more than 30 personal-information types and validates formats across more than 10 European ID formats. Users can choose redaction, masking, hashing, highlighting, or synthetic replacement by information type, then review candidates with the strategy, pattern, and confidence behind each flag. OCR for scanned or image-heavy PDFs runs locally. Listed profiles include Swiss DPA, EU GDPR, Healthcare, Financial, and Full Scan. An encrypted .gocalma recovery key can restore the original document later with the matching key. The repository says key payloads use AES-GCM encryption and redaction removes PDF author, title, and timestamp metadata. Its audit summary records a design-level concern involving raw key storage when no password is set. The Vercel demo uses regex-only detection because model files exceed its 250 MB limit. Local setup requires Node.js 18 or later, npm, and a modern desktop browser. The software is distributed under the MIT License.

Visit github.com