Original Languages

Bible Greek & Hebrew Study

Open Hebrew and Greek word by word — roots, Strong's numbers, glosses, and every occurrence.

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No sign-in needed to read or ask.

A translation is a pane of glass. The original-language view turns it into a window you can open — without first learning Hebrew or Greek.

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Word-by-Word, Not a Bulk Gloss

Each verse is split into words, and each word carries its original form, lemma, and Strong's number — most also carry a transliteration and gloss. Hebrew renders right-to-left. Tap a word to expand its lexicon entry and jump to every other occurrence in Scripture.

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The AI Answers From This Data

When you ask about a passage, the chapter's word-level tagging, cross-references, and text are pulled first and handed to the model with an explicit instruction to ground its answer in them and invent nothing beyond. Original-language claims become checkable rather than remembered.

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From One Word to the Whole Bible

One Strong's number threads a word through every book it appears in. Combined with Treasury of Scripture Knowledge cross-references, you can follow a word or theme from one verse into the passages that illuminate it — the classic “Scripture interprets Scripture” method, without a paper concordance.

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Frequently Asked Questions

What are Strong's numbers?

Strong's numbers assign a unique id to each original-language root — H for Hebrew, G for Greek. They let you trace which original word sits behind a translation, and where else that same word appears, without knowing the languages.

Is this useful if I don't know Hebrew or Greek?

Yes. Every word carries its root and a lexicon definition, and most also carry a transliteration and gloss — you never need to read the script itself. The common use is: when a translated word feels ambiguous, tap it to see the root and where else it occurs.

Where does the original-language data come from?

Word-level tagging comes from the open macula dataset; definitions come from the public-domain Strong's lexicon. Both are verifiable open resources, not model output — which matters, because an AI can fabricate original-language claims and a dataset cannot.

How is this different from asking ChatGPT for the Greek word?

A general AI answers from training memory: the word form, the Strong's number, and the references can all be subtly wrong, and you have no way to check on the spot. BibleVibe pulls the chapter's actual word data first, hands it to the model along with the text, and every number you see can be opened and verified.

Is every book covered?

All 66 books have data, though not yet every chapter — roughly 800 chapters so far. High-traffic books including Genesis, Psalms, Isaiah, Matthew, John, and Romans are complete; the rest are being ingested in priority batches. Chapters without data simply don't show the original-language toggle — we'd rather it be absent than open to nothing.

How do I start?

Open any chapter, expand it, and switch on “Original Language.” The toggle remembers your choice across chapters. Tap any word for its root, transliteration, gloss, and definition — and jump to every other occurrence.

Pick a word whose translation always bothered you. See what it says in the original.

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