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- QS Scanner & Photo Translator Vs. Cam Translate - OCR Translator
QS Scanner & Photo Translator против Cam Translate - OCR Translator Использование & Stats
Multimodal language large model support!
Phone Camera Scan, Picture & Voice Recognition and Translator BLACK TECH!
Base on the latest artificial intelligence technology, support for translation of multi-language large models, high-precision images, speech recognition, easy intelligent translation,Travel Essentials APP!
Phone camera identify plants and flowers, enjoy it.
Stand by:
Camera Scan recognition Image to text;
Album leaflets/multiple image batch identification;
Server-side identification;
After identifying as text:
Translator;
The text can be automatically worded;
Copy to clipboard;
Export the text file;
Export PDF file, PDF preview print;
Easily export and share it with friends.
Voice Translator: Talking, easily recognizing speech as text and automatically translating to any language.
Support Translation Languages:
A: [Arabic, Afrikaans, Armenian]
B: [Bulgarian, Bosnian, Burmese, Bengali, Belarusian]
C: [Cantonese, Chinese, Czech, Croatian, Catalan, Chinese(classical).]
D: [Dutch, Danish]
E: [English, Estonian, Esperanto]
F: [French, Finnish, Filipino, Fijian]
G: [German, Greek, Georgian, Ganda]
H: [Hungarian, Hebrew, Hokkien, Hmong, Hindi, Hawaiian]
I: [Italian, Indonesian, Irish, Icelandic]
J: [Japanese]
K: [Korean, Kongo, Kazakh, Khmer, Kalaallisut, Kirghiz, Kashmiri, Kurdish, Kinyarwanda, Kekchí]
L: [Lao, Latin, Low German, Latvian, Lithuanian, Letzeburgesch]
M: [Mongolian, Malay, Mari(Russia), Montenegrin, Macedonian, Maori]
N: [Nepali, Norwegian]
P: [Portuguese, Polish, Persian]
R: [Russian, Romanian]
S: [Spanish, Slovene, Swedish, Sanskrit, Slovak, Syriac]
T: [Thai, Traditional Chinese, Turkish, Tibetan, Turkmen, Tajik]
U: [Uighur, Ukrainian]
V: [Vietnamese]
W: [Welsh]
Note: Tibetan, Mongolian, Uyghur, and Cantonese only support translation between Chinese and other languages, and Minnan dialect only supports translation between Minnan dialect and Chinese. The other two languages can only support translation between each other.
- Apple App Store
- Бесплатный
- Справка
Рейтинг магазина
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Cam Translate, a new generation photo translation APP based on a large model, supports translation between more than 80 languages.
Cam Translate uses the latest in-depth neural network of large language model (LLM), combined AI with cloud image recognition technology, to recognize text in images with high accuracy and to translate texts in multiple languages.
When you travel or go abroad, street signs, books, recipes, and photos can be translated into the language you need.
Cam Translate has both speech recognition and translation functions. It uses multimodal speech recognition technology to easily identify speech content and translate by speaking, completely freeing your hands!
Support input text translation, including Sanskrit, Hebrew, Mongolian, Tibetan, Uyghur, Hindi, Mayan and other languages, translation support more than 80 languages.
List of languages supported by translation:
English, Cantonese, Japanese, Chinese, Korean, French, Spanish, Thai, Arabic, Russian, Portuguese, German, Italian, Greek, Dutch, Polish, Bulgarian, Estonian, Danish, Finnish, Czech, Romanian, Slovene, Swedish, Hungarian, Traditional Chinese, Vietnamese, Croatian, Bosnian, Indonesian, Persian, Filipino, Lao, Latin, Burmese, Esperanto, Turkish, Mongolian, Hebrew, Malay, Tibetan, Uighur, Hokkien, Sanskrit, Fijian, Ukrainian, Kongo, Hmong, Afrikaans, Nepali, Hindi, Turkmen, Slovak, Bengali, Mari(Russia), Catalan, Kazakh, Belarusian, Irish, Icelandic, Low German, Khmer, Kalaallisut, Georgian, Montenegrin, Kirghiz, Kashmiri, Kurdish, Latvian, Lithuanian, Ganda, Letzeburgesch, Kinyarwanda, Macedonian, Kekchí, Maori, Norwegian, Tajik, Welsh, Hawaiian, Syriac, Armenian, Chinese(classical).
- Apple App Store
- Бесплатный
- Образование
Рейтинг магазина
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QS Scanner & Photo Translator vs. Cam Translate - OCR Translator ranking comparison
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QS Scanner & Photo Translator VS.
Cam Translate - OCR Translator
декабрь 23, 2024