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IPED

Processes and indexes seized digital evidence — disk images, files, timelines — for forensic examiners. Bundles high-speed carving, OCR, named-entity recognition, similar-image and face search, and audio transcription behind scriptable Java parsers.

Introduction

Most digital forensics suites — EnCase, X-Ways, Cellebrite — are expensive proprietary products, which puts serious evidence processing out of reach for underfunded labs and independent examiners. IPED is the rare exception: production-grade forensic software written inside a national police agency and released as open source, hardened by a decade of real criminal casework rather than a vendor roadmap.

What Sets It Apart
  • Scales to whole seizures. Multithreaded processing and indexing chew through terabyte disk images, with carving to recover deleted files — one workstation can process a full seized drive unattended.
  • AI-assisted triage is built in. OCR (Tesseract), named-entity recognition, similar-document and image search, face recognition, and audio transcription surface the relevant few files inside millions, so examiners find the needle without opening every file by hand.
  • Extensible by scripting. Parsers and processing tasks are scriptable, letting a lab add a new file format or workflow without forking the codebase.
  • Court-tested provenance. Its evidence handling reflects real courtroom requirements because the people who build it also use it daily in criminal investigations.
Great Fit If / Look Elsewhere If

Great fit if you run a forensic lab or investigation on a budget and need a defensible, auditable, extensible processing pipeline over disks and files. Look elsewhere if your focus is mobile-device extraction (Cellebrite territory), you want commercial support contracts, or you need a point-and-click tool with no learning curve — IPED is Java-heavy and its throughput comes with real configuration and RAM demands.

Information

  • Websitegithub.com
  • OrganizationsBrazilian Federal Police
  • Authorssepinf-inc (Brazilian Federal Police team)
  • Published date2015/01/09

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