curl --request POST \
--url https://api.deapi.ai/api/v2/images/ocr/price \
--header 'Accept: <accept>' \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: multipart/form-data' \
--form 'image=<string>' \
--form model=Nanonets_Ocr_S_F16 \
--form language=en \
--form format=text \
--form 0.image='@example-file'import requests
url = "https://api.deapi.ai/api/v2/images/ocr/price"
files = { "0.image": ("example-file", open("example-file", "rb")) }
payload = {
"image": "<string>",
"model": "Nanonets_Ocr_S_F16",
"language": "en",
"format": "text"
}
headers = {
"Accept": "<accept>",
"Authorization": "Bearer <token>"
}
response = requests.post(url, data=payload, files=files, headers=headers)
print(response.text)const form = new FormData();
form.append('image', '<string>');
form.append('model', 'Nanonets_Ocr_S_F16');
form.append('language', 'en');
form.append('format', 'text');
form.append('0.image', '{
"fileName": "example-file"
}');
const options = {method: 'POST', headers: {Accept: '<accept>', Authorization: 'Bearer <token>'}};
options.body = form;
fetch('https://api.deapi.ai/api/v2/images/ocr/price', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.deapi.ai/api/v2/images/ocr/price",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\nNanonets_Ocr_S_F16\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"language\"\r\n\r\nen\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"format\"\r\n\r\ntext\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"0.image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--",
CURLOPT_HTTPHEADER => [
"Accept: <accept>",
"Authorization: Bearer <token>",
"Content-Type: multipart/form-data"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.deapi.ai/api/v2/images/ocr/price"
payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\nNanonets_Ocr_S_F16\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"language\"\r\n\r\nen\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"format\"\r\n\r\ntext\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"0.image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Accept", "<accept>")
req.Header.Add("Authorization", "Bearer <token>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.deapi.ai/api/v2/images/ocr/price")
.header("Accept", "<accept>")
.header("Authorization", "Bearer <token>")
.body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\nNanonets_Ocr_S_F16\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"language\"\r\n\r\nen\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"format\"\r\n\r\ntext\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"0.image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.deapi.ai/api/v2/images/ocr/price")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Accept"] = '<accept>'
request["Authorization"] = 'Bearer <token>'
request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\nNanonets_Ocr_S_F16\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"language\"\r\n\r\nen\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"format\"\r\n\r\ntext\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"0.image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--"
response = http.request(request)
puts response.read_body{
"data": {
"price": 0.15
}
}{
"data": {},
"message": "<string>",
"errors": [
"<unknown>"
],
"statusCode": 123
}{
"data": {},
"message": "<string>",
"errors": [
"<unknown>"
],
"statusCode": 123
}{
"message": "The selected model does not support Text To Image.",
"errors": {
"model": [
"This model is not available on your plan. Please upgrade to access it."
]
}
}{
"message": "Too Many Attempts."
}Image OCR Price Calculation
Estimate the price of an image OCR request.
curl --request POST \
--url https://api.deapi.ai/api/v2/images/ocr/price \
--header 'Accept: <accept>' \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: multipart/form-data' \
--form 'image=<string>' \
--form model=Nanonets_Ocr_S_F16 \
--form language=en \
--form format=text \
--form 0.image='@example-file'import requests
url = "https://api.deapi.ai/api/v2/images/ocr/price"
files = { "0.image": ("example-file", open("example-file", "rb")) }
payload = {
"image": "<string>",
"model": "Nanonets_Ocr_S_F16",
"language": "en",
"format": "text"
}
headers = {
"Accept": "<accept>",
"Authorization": "Bearer <token>"
}
response = requests.post(url, data=payload, files=files, headers=headers)
print(response.text)const form = new FormData();
form.append('image', '<string>');
form.append('model', 'Nanonets_Ocr_S_F16');
form.append('language', 'en');
form.append('format', 'text');
form.append('0.image', '{
"fileName": "example-file"
}');
const options = {method: 'POST', headers: {Accept: '<accept>', Authorization: 'Bearer <token>'}};
options.body = form;
fetch('https://api.deapi.ai/api/v2/images/ocr/price', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.deapi.ai/api/v2/images/ocr/price",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\nNanonets_Ocr_S_F16\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"language\"\r\n\r\nen\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"format\"\r\n\r\ntext\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"0.image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--",
CURLOPT_HTTPHEADER => [
"Accept: <accept>",
"Authorization: Bearer <token>",
"Content-Type: multipart/form-data"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.deapi.ai/api/v2/images/ocr/price"
payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\nNanonets_Ocr_S_F16\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"language\"\r\n\r\nen\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"format\"\r\n\r\ntext\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"0.image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Accept", "<accept>")
req.Header.Add("Authorization", "Bearer <token>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.deapi.ai/api/v2/images/ocr/price")
.header("Accept", "<accept>")
.header("Authorization", "Bearer <token>")
.body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\nNanonets_Ocr_S_F16\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"language\"\r\n\r\nen\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"format\"\r\n\r\ntext\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"0.image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.deapi.ai/api/v2/images/ocr/price")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Accept"] = '<accept>'
request["Authorization"] = 'Bearer <token>'
request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\nNanonets_Ocr_S_F16\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"language\"\r\n\r\nen\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"format\"\r\n\r\ntext\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"0.image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--"
response = http.request(request)
puts response.read_body{
"data": {
"price": 0.15
}
}{
"data": {},
"message": "<string>",
"errors": [
"<unknown>"
],
"statusCode": 123
}{
"data": {},
"message": "<string>",
"errors": [
"<unknown>"
],
"statusCode": 123
}{
"message": "The selected model does not support Text To Image.",
"errors": {
"model": [
"This model is not available on your plan. Please upgrade to access it."
]
}
}{
"message": "Too Many Attempts."
}Authorizations
Sanctum personal access token, sent as Authorization: Bearer <token>. The token is opaque — it carries no claims and no embedded expiry, so do not attempt to decode it. Issue and revoke tokens from your account dashboard.
Headers
application/json Body
Image to text conversion parameters
- Option 1
- Option 2
Every example in this schema is a working set for the model example shown — they are not defaults and not portable. Sizes, step counts, frame counts and frame rates are all per-model: read info.limits and info.defaults for the model you actually intend to use from GET /api/v2/models. Substituting a different model while keeping these values is the most common source of a 422.
Image file to extract text from. Supported formats: JPG, JPEG, PNG, GIF, BMP, WebP. Maximum file size: 10 MB.
The OCR model to use for text extraction. Available models can be retrieved via the GET /api/v2/models endpoint.
"Nanonets_Ocr_S_F16"
Language code for OCR processing (optional)
"en"
Output format for extracted text
text, json, null "text"
Response
Calculated price for img2txt inference.
Show child attributes
Show child attributes
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