TranslatePress DeepL writes auto-translated strings into the same per-language dictionary table that the main TranslatePress plugin uses, plus it tracks character consumption against the DeepL API plan limit in plugin options. The default UI surfaces auto-translated strings only in the visual editor, so reviewing 5,000 machine translations means hovering each one in turn.

SleekView reads the dictionary tables directly with a column flagging machine-translated rows, then joins to the DeepL usage option so per-month character counts surface as a sortable column. Saved views remember combinations like DeepL-drafts-awaiting-review or characters-consumed-this-week scoped to a target language.

Edits route through TranslatePress's own save path so approving a machine translation triggers the same dictionary update as the visual editor. Bulk approval of a filtered set works the same way: each save still calls the plugin's CRUD layer so caches and hooks stay consistent.

DeepL produces a lot of dictionary rows quickly. That is the point of buying the DeepL add-on. The operational consequence is that a reviewer who would otherwise translate one string at a time now has thousands of drafts in the dictionary waiting for human approval, and the TranslatePress front-end editor reviews them one by one.

Localization managers compensate by approving in batches by language, but the batching happens in their head rather than in the tool. Reading the dictionary tables joined to the DeepL flag and character counter produces a real review queue. Drafts surface with their character cost so finance sees the consumption shape per language and per week.

Reviewers approve in bulk against a filtered set with hooks and caches firing correctly. The DeepL API call still happens inside TranslatePress, the dictionary writes still go through TranslatePress, and the front-end overlay is untouched. SleekView just turns the existing data into a queue people can clear.