CaseGuard vs LocalRedact
CaseGuard
caseguard.comLocalRedact
github.comSide by side
| Figure | CaseGuard | LocalRedact |
|---|---|---|
| Price from | $23.25/mo | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 1 |
| Spec score · Document Redaction Software | 7.9 (#12) | 8.4 (#7) |
| Compliance | The pricing page describes the product as supporting HIPAA, FOIA, CJIS, and GDPR compliance and says metadata is scrubbed and redactions are permanent. | The project describes its detection as best effort and says it is not a compliance certification. |
| Integrations | CaseGuard documents integrations with Axon Evidence and Box, and its project guide also lists Amazon S3 as an import source. | The base package depends on PyMuPDF, and the optional HTTP service can be installed with the server extra. |
| Purpose | CaseGuard automates redaction of sensitive information in video, audio, documents, and images for organizations handling evidence and records. | LocalRedact is a private PDF redaction tool that processes plain-English instructions with deterministic rules. |
Plans
CaseGuard
- Doc Suite$279 a year
- Media Suite$299 a year
- Ultimate Suite$379 a year
- EnterprisePriced on request
In their own words
LocalRedact
LocalRedact is a free, open-source PDF redaction tool that follows plain-English instructions using deterministic rules. It removes text beneath redacted areas and blanks image pixels where those areas overlap. Detection can target personal, financial, government, health, and credential data, as well as quoted values and selected page or layout instructions. Processing happens locally: the project says it uses no LLM, cloud API, telemetry, or model download, and reads text and coordinates with PyMuPDF. By default, it removes common PDF extras such as metadata, embedded files, JavaScript, links, and saved form state. After saving, it reopens the document and checks whether detected values remain extractable. Interfaces include a Python API, two command-line tools, and an optional HTTP service. Scanned PDFs can use locally installed Tesseract; image-only pages fail closed without OCR by default. The package requires Python 3.10 or later and is available for Windows, macOS, and Linux. The project calls the software alpha and warns that detection is best effort, not a compliance certification. It recommends visually reviewing high-stakes output.