StreetVoca

Turn photos into a reviewable vocabulary list

8 followers

Turn photos into a reviewable vocabulary list

8 followers

StreetVoca turns photos of signs, menus, books, and screenshots into vocabulary candidates you can save and review later. Free users can test the flow; Plus adds more OCR credits and a larger wordbook.

Free Options

Launch tags:Education

Launch Team

SkydiveAI coworkers that actually get work done

Promoted

Maker

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I built StreetVoca for learners who meet new words in real places: signs, menus, books, screenshots, and daily photos. The goal is a simple loop: capture or import a photo, pick useful words, save them to Wordbook, and review later. I would value feedback on OCR friction, word selection, and whether the Free/Plus limits feel clear.

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2mo ago

The OCR caught the messy handwritten specials board at my local taco spot, which I was not expecting. Saving straight to a review list without copy-pasting feels like the workflow I never knew I wanted.

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2mo ago

Snapped a pic of a ramen menu and it actually pulled out the harder kanji I would have skipped over, which was kind of a nice surprise. Wish the free tier had a few more OCR runs though.

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2mo ago

Forum Threads

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2mo ago

What should StreetVoca optimize first: OCR speed or word review flow?

StreetVoca is built for language learners who find new words in real photos: signs, menus, books, screenshots, and daily scenes. The current loop is: capture or import a photo, detect candidate words, save useful ones to Wordbook, then review them later.

For early users, which part would most affect whether you keep using it: faster OCR, cleaner word selection, better review reminders, or clearer Free/Plus limits?

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