GoCalma
github.com
What it is
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.
Spec sheet
- Purpose
- GoCalma detects and redacts sensitive information in PDFs in the browser without sending document contents to a server.Read 9 Oct 2026 · github.com
- Security
- The repository states that .gocalma key payloads use AES-GCM encryption and that redaction scrubs PDF author, title, and timestamp metadata.Read 9 Oct 2026 · github.com
- Privacy
- The repository says PDF parsing, detection, OCR, redaction, and restoration happen locally in the browser, and plain document content is not sent to external servers.Read 9 Oct 2026 · github.com
- License
- The software is distributed under the MIT License.Read 9 Oct 2026 · github.com
- Compliance profiles
- The listed profiles are Swiss DPA, EU GDPR, Healthcare, Financial, and Full Scan.Read 9 Oct 2026 · github.com
- Deployment limit
- The repository says its Vercel demo deployment uses regex-based detection only because the NER model files are too large for Vercel's 250MB limit.Read 9 Oct 2026 · github.com
- Detection review
- Users can review detected candidates and see why each was flagged, including strategy, pattern, and confidence.Read 9 Oct 2026 · github.com
- Languages
- The listed interface and OCR languages are English, German, French, Italian, and Spanish.Read 9 Oct 2026 · github.com
- PII detection
- The repository says GoCalma detects more than 30 PII types and validates checksums across more than 10 European ID formats.Read 9 Oct 2026 · github.com
- Redaction modes
- Users can choose redact, mask, hash, highlight, or synthesize modes by PII type.Read 9 Oct 2026 · github.com
- Reversible redaction
- Users can export an encrypted .gocalma recovery key and later restore the original document with the matching key.Read 9 Oct 2026 · github.com
- Scanned PDFs
- The app runs OCR locally for image-heavy or scanned PDFs.Read 9 Oct 2026 · github.com
- Security caveat
- The repository's audit summary reports a design-level finding: raw key storage when no password is set.Read 9 Oct 2026 · github.com
- Setup
- The repository's local setup instructions require Node.js 18 or later, npm, and a modern desktop browser.Read 9 Oct 2026 · github.com
Plans and prices
Strong points and limits
Strong points
- Processes PDF contents locally in the browser
- Detects over 30 PII types
- Offers five redaction modes by PII type
- Runs local OCR on scanned PDFs
- Encrypted recovery keys can restore originals
Limits
- Raw key storage is noted when no password is set
- Vercel demo uses regex detection only
- Local setup requires Node.js 18 or later and npm
- Input format is limited to PDF
Who it suits
It suits people needing local, browser-based PDF PII detection and redaction, including privacy-sensitive workflows. Users can self-host or run the documented local setup with Node.js, npm, and a modern desktop browser.
Verdict
GoCalma keeps PDF parsing, detection, OCR, redaction, and restoration in the browser while offering configurable review and recovery. Its documented passwordless key-storage concern and reduced Vercel detection mode are important deployment details.
Where Specifiction places it
- Document Redaction Software#14 of 277.8