NeuroSpell

Universal Auto-Corrector

⇨ ⇨ ⇨  Select a language  ⇦ ⇦ ⇦

French (Français) English (English) Spanish (Español) German (Deutsch) Italian (Italiano) Portuguese (Português)
Irish (Gaeilge) Dutch (Nederlands) Danish (Dansk)
Icelandic (Íslenska) Norwegian (Norsk) Swedish (Svenska) Finnish (Suomen kieli)
Estonian (Eesti keel) Latvian (Latviešu valoda) Lithuanian (Lietuvių kalba)
Polish (Polski) Czech (čeština) Slovak (Slovenčina)
Ukrainian (українська мова) Hungarian (Magyar) Slovenian (Slovenščina)
Croatian (Hrvatski) Bosnian (Bosanski jezik) Romanian (Română) Serbian (српски језик)
Bulgarian (български език) Albanian (Shqip) Greek (Ελληνικά) Maltese (Malti)
Russian (русский язык) Turkish (Türkçe) Hindi (हिन्दी) Hebrew (עברית) Arabic (العربية)

EU-wide+
Industrial Applications

Human-in-the-loop charge optimization
Text-stream improvement/enrichment

Writing Aid
Proofreading RPA
Customer-workflow inputs enrichment
Speech-to-Text enhancement
OCR error correction
...

NeuroSpell can be trained on domain-specific vocabulary, sentence structures and phrasing
as well as machine-specific errors

NeuroSpell can be deployed On-Premise without sending any data outside your intranet.
#OnPremiseCapability

Discover why checking is not correcting

You may also test the bilingual version

NeuroBiSpell

Ultimate
Translation Checker (QA)
Translation Auto-Corrector
using Deep Learning

NeuroSpell current state

Language		Version Corpus	Neural Auto-Correction Typo Phonetic Punctuation Fused/Splitted words	Neural Auto-Correction Complex flexions	Neural Auto-Correction Elisions Language-specific confusions	Neural Auto-Correction NW-Guidance LT-Guidance	Neural Auto-Correction Non-native errors	Neural Auto-Correction Correction level option	Rule-Base Checking Spelling Grammar Style Formatting Specific controls	Named-Entity Recognition Persons Places Acronyms (...)
	French (Français)	δ2.1.29 Large	✅	✅	✅	✅	✅	✅	✅	✅
	English (English)	ξ0.8.29 Large	✅	✅	✅	✅			✅	✅
	Spanish (Español)	ξ0.19.29 Large	✅	✅	✅	✅	✅		✅	✅
	German (Deutsch)	ξ0.19.29 Medium	✅	✅	✅	✅			✅
	Italian (Italiano)	ξ0.20.29 Medium	✅	✅	✅	✅	✅		✅	✅
	Portuguese (Português)	ξ0.8.29 Medium	✅	✅		✅			✅	✅
	Irish (Gaeilge)	ξ0.8.29 Tiny	✅	✅		✅			✅
	Dutch (Nederlands)	ξ0.8.29 Medium	✅	✅		✅			✅	✅
	Danish (Dansk)	ξ0.8.29 Medium	✅	✅		✅			✅	✅
	Icelandic (Íslenska)	ξ0.8.29 Tiny	✅			✅
	Norwegian (Norsk)	ξ0.8.29 Medium	✅			✅				✅
	Swedish (Svenska)	ξ0.8.29 Medium	✅	✅		✅			✅	✅
	Finnish (Suomen kieli)	ξ0.8.29 Medium	✅			✅				✅
	Estonian (Eesti keel)	ξ0.8.29 Medium	✅			✅
	Latvian (Latviešu valoda)	ξ0.8.29 Small	✅			✅
	Lithuanian (Lietuvių kalba)	ξ0.8.29 Small	✅			✅				✅
	Polish (Polski)	ξ0.8.29 Medium	✅	✅		✅			✅	✅
	Czech (čeština)	ξ0.8.29 Large	✅			✅
	Slovak (Slovenčina)	ξ0.8.29 Medium	✅	✅		✅			✅
	Ukrainian (українська мова)	ξ0.8.29 Small	✅	✅		✅			✅	✅
	Hungarian (Magyar)	ξ0.8.29 Large	✅			✅
	Slovenian (Slovenščina)	ξ0.8.29 Medium	✅	✅		✅			✅
	Croatian (Hrvatski)	ξ0.8.29 Medium	✅			✅				✅
	Bosnian (Bosanski jezik)	ξ0.8.29 Tiny	✅			✅
	Romanian (Română)	ξ0.8.29 Medium	✅	✅		✅			✅	✅
	Serbian (српски језик)	ξ0.8.29 Tiny	✅			✅
	Bulgarian (български език)	ξ0.8.29 Medium	✅			✅
	Albanian (Shqip)	ξ0.8.29 Small	✅			✅
	Greek (Ελληνικά)	ξ0.8.29 Medium	✅	✅		✅			✅	✅
	Maltese (Malti)	ξ0.8.29 Tiny	✅			✅
	Russian (русский язык)	ξ0.8.29 Medium	✅	✅		✅			✅	✅
	Turkish (Türkçe)	ξ0.8.29 Medium	✅			✅
	Hindi (हिन्दी)	ξ0.8.29 Small	✅			✅
	Hebrew (עברית)	ξ0.8.29 Medium	✅			✅
	Arabic (العربية)	ξ0.8.29 Large	✅	✅		✅			✅
	Belarusian (Беларуская)	RuleBase None							✅
	Persian (فارسی)	RuleBase None							✅
	Chinese (中文)	RuleBase None							✅	✅
	Tamil (தமிழ்)	RuleBase None							✅
	Japanese (日本語)	RuleBase None							✅	✅
	Tagalog (Tagalog)	RuleBase None							✅
	Khmer (ភាសាខ្មែរ)	RuleBase None							✅

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