Image OCR
Convert image to text with ExactRead: turn PNG, JPEG, and WebP scans or screenshots into reviewable text, compare OCR models, and export TXT or JSON.
Upload a document and compare models right here — no need to leave this page.
ExactRead converts image to text and shows the result next to the original picture, so you review the extraction rather than trust it blind. Upload a PNG, JPEG, or WebP — a scan, a photo, or a screenshot — and the workbench turns it into selectable, exportable text. Because a general vision model can quietly paraphrase what it reads, keeping the source image beside the output makes it easy to spot where image to text drifted from the original.
An image can be routed to a vision-language model (GPT-5.4, Gemini 3 Flash, Qwen3-VL) or to a native OCR engine (PaddleOCR, Mistral OCR). Vision models are strong on messy layouts, mixed languages, and screenshots; native OCR engines are predictable on dense, printed text. Running both on the same image is the fastest way to see which handles your fonts, columns, and handwriting best.
Mixed or non-Latin scripts read better when the engine knows what to expect. The workbench supports a language hint (auto, en, zh, ja, and more) that you can set before running image to text, which helps on bilingual receipts, CJK documents, and photos with small print.
Upload, compare, accept, save a preference, and export without moving the image between separate OCR tools. Accepted results download as TXT or as JSON that keeps full text, confidence, and warnings, so the converted text is ready for the next step immediately.
Low resolution, glare, motion blur, heavy skew, and tiny fonts are what push image to text toward errors, not the choice of model alone. When a scan comes back wrong, the fastest fixes are a sharper re-shoot, a straighter crop, and a language hint — then compare two engines on the improved image. Because ExactRead shows confidence and warnings next to each result, a low-quality source usually announces itself before the text reaches your workflow.
Drop a image onto the workbench or click to browse. Supported inputs are PNG, JPEG, and WebP images, plus PDF for PDF-capable models.
After upload, the model list is filtered to the OCR engines that actually support your file, so you never start a job that cannot run.
Choose a single model when speed and cost matter, or compare mode to run several OCR models on the same image at once.
Each result keeps its model, status, confidence, and warnings, with the recommended output highlighted so you can judge accuracy quickly.
Accept the output that reads your image most faithfully, then copy it or export TXT or JSON for the next step.
Capability, format support, and credits come straight from the model catalog — a starting point, not a ranking. Test on your own documents to decide.
| Model | Provider | Type | Formats | Credits / doc |
|---|---|---|---|---|
| Gemini 3 Flash | Vision-language model | Image files | 1 | |
| GPT-5.4 | OpenAI | Vision-language model | Image files | 3 |
| Qwen3-VL 32B | Alibaba Qwen | Vision-language model | Image files | 2 |
| PaddleOCR | Baidu PaddlePaddle | Native OCR engine | Images and PDF | 1 |
| Mistral OCR | Mistral AI | Native OCR engine | Images and PDF | 2 |
Supported formats
PNG, JPEG, WebP
Model guidance
Compare GPT-5.4, Gemini, Qwen3-VL, and native OCR
Credit note
Single model saves credits; compare mode improves review
ExactRead accepts PNG, JPEG, and WebP images for OCR jobs. After upload, the model list is filtered to the engines that support your file so every offered model can actually run.
Use one model for routine scans to save credits and time. Compare several models when the image is high value or hard to read, then keep the output that matches the original most faithfully.
Yes, though handwriting accuracy varies by author and image quality. Vision-language models generally handle handwriting better than native OCR; compare a few and review the result before relying on it.
The OCR prompt asks models to preserve full text, reading order, and any tables. Structured JSON export keeps detected tables, but complex multi-column layouts should be checked against the original image.
Yes. Sign-in grants free credits, and the free plan includes 100 OCR credits every month, which is enough to convert and compare a batch of images before deciding on a model.