What Фонетический (звуко-буквенный) actually does (from store listing)
Text guide Phonetics allows you to make an automatic phonetic (sound-letter) parsing of a word in the Russian language.
When parsing, the basic rules for parsing the school curriculum are taken into account.
The program allows you to divide a word into syllables for hyphenation.
In the program, the parsing is taking into account the morphology (for example, the endings of adjectives), the letter e is taken into account, before which a solid paired consonant is pronounced or which is pronounce…
Text guide Phonetics allows you to make an automatic phonetic (sound-letter) parsing of a word in the Russian language.
When parsing, the basic rules for parsing the school curriculum are taken into account.
The program allows you to divide a word into syllables for hyphenation.
In the program, the parsing is taking into account the morphology (for example, the endings of adjectives), the letter e is taken into account, before which a solid paired consonant is pronounced or which is pronounced without iotation (for example, an applicant).
Signs of the Russian alphabet such as ъ, ь, e, ё, yu, i are not used in the recording of sounds. The sign 'denotes the softness of a consonant,: denotes a long sound, the accent sign is placed above a vowel or a parenthesis in letter-by-letter expansion.
At the end of the parsing, the color scheme of the word is given.
At the moment, there are several approaches to phonetic analysis, therefore, there is no unambiguously correct analysis, and the designations of sounds are conditional, so adjust the design of the result for specific requirements.
Parsing is performed automatically, the results may contain errors.
In the application, the letters e and ё are two different letters that affect the parsing result!
Comparable Android apps
The five apps in Education with the closest revenue to Фонетический (звуко-буквенный). Click any to see its detail page.
Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag.
The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR.
Every number on this page comes from public APIs and bumetric's own snapshot history.
Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors.
See also the live data on Фонетический (звуко-буквенный)'s tracker page for current rating, reviews and snapshot timeline.
Building something similar? Get a free AI audit with $-revenue forecasts for every recommendation.