Google · Vision-language model
Run Gemini 2.0 Flash for OCR through ExactRead. Upload an image or PDF, extract reviewable text, compare it against other models, and export TXT or JSON. Gemini 2.0 Flash is a vision-language model from Google.
Upload a document and run OCR with this model to see how it reads — without leaving this page.
Want to compare several models at once?
Upload once in the multi-model workbench, compare every OCR model side by side, accept the best, and export TXT or JSON.
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Type
Vision-language model
Formats
Image files
Credit cost
1 credit / doc
Gemini 2.0 Flash works well when you need vision-language model reading for image files. Because document quality varies, ExactRead lets you run Gemini 2.0 Flash on its own or compare it side by side with other OCR routes before you standardize.
Document quality varies, so the only reliable way to judge Gemini 2.0 Flash is on your own files. Upload a sample, run Gemini 2.0 Flash here, review the extracted text, and compare it with another OCR model in the same workspace before you commit.
Every Gemini 2.0 Flash result keeps its model, status, confidence, warnings, and structured JSON, so reviewers can see why an output was accepted. Accepted results export as TXT or JSON for downstream workflows.
Gemini 2.0 Flash is a vision-language model that ExactRead exposes for OCR. The best way to judge fit is to test it on your own documents and compare the output against another model in the same run.
On ExactRead, Gemini 2.0 Flash accepts image files. After you upload, the model list is filtered to what your file actually supports, so you never start a job that cannot run.
Each Gemini 2.0 Flash run costs 1 credit per document by default. Admins can adjust per-model credit costs, and compare mode charges each selected model.