import requests, os, uuid, json
from urllib.parse import urlparse, quote

U, P, T = "https://access.vheer.com/api/Vheer/UploadByFileNew", "2eYfnBtLhGE1cyYwsXjNqgT3y6LwF6W5De2QVtwDJIou9XywW/q3B83MaOQbHJnd5EkPEK96+vNfstY=", "https://translate.googleapis.com/translate_a/single?client=gtx&dt=t&sl=auto&tl=ar&q="

def tr(txt): return "".join(i[0] for i in requests.get(T+quote(txt)).json()[0] if i[0])
def up(u):
    s=requests.Session(); s.headers={'Origin':'https://vheer.com','Referer':'https://vheer.com/','User-Agent':'Mozilla/5.0'}
    fn=os.path.basename(urlparse(u).path) or f"img_{uuid.uuid4().hex}.jpg"
    open(fn,"wb").write(s.get(u).content); s.options(U)
    r=s.post(U,files={"file":(fn,open(fn,"rb"),"image/jpeg"),"params":(None,P)}); os.remove(fn)
    d=r.json(); c=d.get("data",{}).get("caption"); 
    if c: d["data"]["caption"]=tr(c); return json.dumps(d,ensure_ascii=False)

if __name__=="__main__": print(up(input("Image URL: ")))

كود api تحليل الصور ينطيك التحليل بالعربي بدون حدود 😉.

import requests
from bs4 import BeautifulSoup

text = input(">>> ")
soup = BeautifulSoup(requests.get("https://arabic-text.com/", headers={'user-agent':'Mozilla/5.0'}).text,'html.parser')
r = requests.post("https://arabic-text.com/", headers={'content-type':'application/x-www-form-urlencoded','user-agent':'Mozilla/5.0','x-requested-with':'XMLHttpRequest'}, data={
    'ScriptManager1':'UpdatePanel1|Button1','__EVENTTARGET':'','__EVENTARGUMENT':'',
    '__VIEWSTATE':soup.find(id="__VIEWSTATE")['value'],
    '__VIEWSTATEGENERATOR':soup.find(id="__VIEWSTATEGENERATOR")['value'],
    '__EVENTVALIDATION':soup.find(id="__EVENTVALIDATION")['value'],
    'TextBox1':text,'__ASYNCPOST':'true','Button1':' >>>'
})
print(BeautifulSoup(r.text,'html.parser').find('textarea', id='TextBox2').text.strip())

Create a 1/7 scale intelligent figurine in the picture, I in a realistic style, in 2 real environment. The figurine is plattered on a computer desk. The figurine has a round ransparent acrylic base, with no text on the base.
The content on the screen is the Zbrush modeling process of

import requests, urllib.parse, json
from bs4 import BeautifulSoup

text = "احمد"
url = f"https://ar.flamingtext.com/Cool-Text-Generator?text={urllib.parse.quote(text)}"

try:
    r = requests.get(url)
    r.raise_for_status()
    soup = BeautifulSoup(r.text, 'html.parser')
    images = [urllib.parse.urljoin("https://ar.flamingtext.com", img['logo-src'])
              for img in soup.find_all('img', {'logo-src': True})]

    result = [{"image": img} for img in images]
    print(json.dumps(result, ensure_ascii=False, indent=4))

except requests.RequestException as e:
    print(json.dumps({"error": str(e)}, ensure_ascii=False))