OpenText File Content Extraction

OpenText File Content Extraction is the current OpenText brand of the product that eDiscovery and content analytics customers have known as KeyView for decades. It parses content and metadata out of 1,500-plus file formats, handles embedded objects and container formats, and produces clean text downstream systems can consume.

The product's value is coverage and customers adopting AI, running eDiscovery, or feeding content analytics cannot assume generic open-source parsers handle the files they encounter. Legal, financial, and government customers routinely process content where the format coverage of KeyView is the difference between usable input and lost evidence.

KeyView is rarely an end-user product. Programs consume it as an SDK inside larger content pipelines and feeding Knowledge Discovery, Content Aviator, eDiscovery workflows, or custom analytics systems. Merito's engagements are integration and pipeline work, not user-facing adoption.

Merito has seen customers build AI retrieval pipelines on open-source parsers and find that fifteen percent of the corpus never parsed correctly. The AI could not answer questions about content the parser dropped. The fix was KeyView, not a better model. File parsing quality sets a ceiling on everything downstream.

For legal and regulated customers, KeyView is almost non-negotiable. Format coverage at eDiscovery scale is not a problem generic parsers solve. The investment in KeyView pays back on one investigation where a format-specific extraction prevents losing evidence.

For AI programs, Merito's guidance is pragmatic and start with the parser you have, measure the drop-off rate against the actual corpus, and add KeyView when the drop-off matters to business value. Skipping straight to KeyView without measurement is over-buying; skipping KeyView for diverse corpora is under-serving AI output quality.