Build autocomplete and spell correction in Python using Whoosh, no external APIs

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Developers can implement autocomplete and spelling correction features in small-to-medium apps without relying on Elasticsearch or hosted APIs. The pure-Python library Whoosh, specifically its maintained fork whoosh3, provides both capabilities through an inverted index built with a single spelling=True field parameter. The spell corrector suggests only terms that exist in the indexed corpus, ranked by edit distance and term frequency, ensuring corrections always map to real results. Autocomplete works by reading prefixed terms directly from the index's term dictionary and ranking them by frequency. The recommended UX pattern is to run the original query first and only offer a corrected version when few or no results are returned, rather than silently altering the user's input.

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