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HINOW model

hinow/hivision

HiVision

Dedicated image reading: scanned documents, screenshots, photographs and charts.

Best for: Documentos, prints, gráficos e fotos

Pricing per 1 million tokens

Input

US$ 1,00

per 1 million tokens

Output

US$ 3,00

per 1 million tokens

Where to use it

  • Scanned documents — invoices, contracts, forms and receipts that arrive as images.
  • Screenshots — support tickets where the user sends a screenshot instead of describing the error.
  • Charts and dashboards — reading what a chart shows and returning it as text or JSON.
  • Photographs — product inspection, equipment condition, a photo sent by a customer.
  • Structured extraction — turning any of these images into fields ready for your database.

What sets it apart

HINOW's language models also accept images. HiVision stands out on two points that matter once volume grows:

  • It is the fastest at visual tasks — on the same image, it answered in a few seconds, while general-purpose models took considerably longer.
  • It charges less for the image — the same image consumes fewer input tokens here than on general-purpose models, and the input price is lower than HiMax's.

The side-by-side numbers are in Image understanding.

Getting started

  1. 1

    Send the image in the message

    The user content becomes a list with one text part and one image_url part. The image can be a public URL or a data: URL with base64.

  2. 2

    Ask for the output format

    State the language of the answer and, when it feeds a system, ask for JSON only with the fields you expect.

  3. 3

    Validate before storing

    Treat the output as untrusted text: check types, required fields and ranges before writing to the database.

Example

curl https://api.hinow.ai/v1/chat/completions \
  -H "Authorization: Bearer $HINOW_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "hinow/hivision",
    "messages": [{
      "role": "user",
      "content": [
        {"type": "text", "text": "Extraia numero, CNPJ, total e vencimento. Responda só JSON."},
        {"type": "image_url", "image_url": {"url": "https://exemplo.com/nota.png"}}
      ]
    }]
  }'

Ask for the language and the format

Without an explicit instruction, the answer may come in English and open with the model introducing itself. Asking for "reply with JSON only" brings the output back clean — that is how it should be used inside a system.

See the full guide

The two ways to send an image, accepted formats, cost per image, model comparison and the errors that show up in production.

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