ExactRead

Bulk OCR

Bulk Image to Text — Batch OCR Images and Export TXT or JSON

Bulk image to text on ExactRead: compare OCR models on a sample image, save the best as a preference, then process your batch quickly — or automate via the API and export structured JSON.

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Upload a document and compare models right here — no need to leave this page.

Standardize before you scale

Bulk image to text goes wrong when the wrong model runs at scale — you get thousands of outputs before you realize one engine misreads your image type. ExactRead inverts this: run a sample image through two or three models in compare mode, read the outputs side by side with confidence and warnings, pick the one that reads your content most faithfully, and save it as a preference. Every subsequent image in the batch starts from that model without re-testing, making bulk image to text both fast and consistent.

E-commerce and document batch OCR

E-commerce product images, inventory labels, scanned receipts, and contract batches all share a common pattern: a large volume of similar images that need the same text extraction applied consistently. Native OCR engines like PaddleOCR and Google Cloud Vision are fast and credit-efficient for high-volume image batches; vision models like GPT-5.4 mini and Gemini 3 Flash add accuracy on mixed-language labels, dense print, and non-standard layouts. A saved preference routes your entire batch through whichever engine proved best on your sample, giving consistent bulk image to text results without per-image decision-making.

API access for developer batch automation

For pipelines that need programmatic bulk image to text, ExactRead provides a REST API: upload an image, submit an OCR job specifying the model and document type, poll for the result, and receive structured JSON with full text, confidence, warnings, and any detected tables. API keys are available in Settings → API Keys. Batch jobs submitted via API use the same credit system as the workbench — lightweight models like PaddleOCR at 1 credit per document keep large batch costs predictable. Webhooks are available for async jobs so your pipeline does not need to poll.

Export batch results as TXT or JSON

Each accepted bulk image to text result exports independently as plain TXT for immediate reuse or as structured JSON that keeps the full extracted text, document type, confidence score, warnings, and any detected tables. JSON output from the workbench or API is ready to drop directly into a review queue, a database, a bookkeeping tool, or an internal automation without re-keying anything. For batch processing, JSON is the right format: it carries metadata alongside the text, so downstream systems can filter by confidence or flag warnings without reopening every file.

How it works

  1. 1

    Upload your images

    Drop a images onto the workbench or click to browse. Supported inputs are PNG, JPEG, and WebP images, plus PDF for PDF-capable models.

  2. 2

    Let ExactRead filter the 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.

  3. 3

    Run one model or compare several

    Choose a single model when speed and cost matter, or compare mode to run several OCR models on the same images at once.

  4. 4

    Review confidence and warnings

    Each result keeps its model, status, confidence, and warnings, with the recommended output highlighted so you can judge accuracy quickly.

  5. 5

    Accept and export TXT or JSON

    Accept the output that reads your images most faithfully, then copy it or export TXT or JSON for the next step.

Models that suit this document type

Capability, format support, and credits come straight from the model catalog — a starting point, not a ranking. Test on your own documents to decide.

ModelProviderTypeFormatsCredits / doc
PaddleOCRBaidu PaddlePaddleNative OCR engineImages and PDF1
Gemini 3 FlashGoogleVision-language modelImage files1
GPT-5.4 miniOpenAIVision-language modelImage files1
Mistral OCRMistral AINative OCR engineImages and PDF2
Google Cloud Vision OCRGoogleNative OCR engineImages and PDF2

Supported formats

PNG, JPEG, WebP; select models also accept PDF

Model guidance

Credit-efficient: PaddleOCR, Gemini 3 Flash, GPT-5.4 mini (1 credit/doc)

Credit note

Save a preference to standardize your batch; API available for automation

Back to ExactRead homeView OCR credit pricing

Frequently asked questions

Can I upload multiple images at once for bulk OCR?

The workbench processes one image per job. For true batch automation, use the REST API: submit jobs programmatically, one image per request, and collect structured JSON results as they complete. Saved preferences standardize the model across every job in the batch.

Which models are most efficient for bulk image to text?

For high-volume batches, low-cost models keep per-image credit use predictable: PaddleOCR, Gemini 3 Flash, and GPT-5.4 mini each cost 1 credit per document. Compare them on a representative sample first — the right model depends on your image type, not a general ranking.

Is there an API for bulk image to text automation?

Yes. The REST API accepts image uploads, lets you specify the model and document type, and returns structured JSON with full text, confidence, and warnings. API keys are in Settings → API Keys. Webhooks are available for async result delivery.

How do I keep bulk OCR results consistent?

Run one representative image in compare mode, accept the best output, and save that model as a preference. All subsequent uploads start from that model automatically, so the same engine reads every image in your batch without manual selection each time.

Can I export bulk results as JSON for downstream processing?

Yes. Every accepted result — from the workbench or the API — exports as structured JSON that keeps full text, document type, confidence score, warnings, and detected tables. JSON is the right format for batch pipelines: metadata travels with the text so downstream systems can filter or flag results without reopening each file.

How are credits charged for bulk image to text?

Each OCR job charges that model's per-document credit cost. A single-model run on one image charges once; compare mode on the same image charges each selected model. For batch runs via the API, credit cost scales linearly with the number of jobs submitted. The free plan includes 100 credits every month to test your batch workflow before committing to a plan.