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464 Strings
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6,337 Words
58%
39,083 Characters
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Strings Words Characters
464 6,337 39,083
All strings Browse Translate Zen
361 3,730 23,285
Translated strings Browse Translate Zen
103 2,607 15,798
Unfinished strings Browse Translate Zen
97 1,964 11,859
Untranslated strings Browse Translate Zen
6 643 3,939
Strings marked for edit Browse Translate Zen
3 4 19
Strings with any failing checks Browse Translate Zen
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Translated strings with any failing checks Browse Translate Zen
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Android GPL-3.0-only 83% 77 516 3,100 77 11
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Project website phyphox.org
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Source code repository git@github.com:phyphox/phyphox-translation.git
Repository branch master
Last remote commit Take the reworked Sonar and Doppler descriptions into en.po c34bfee
Staacks authored 10/14/2026
Last commit in Weblate chore(l10n): update Chinese (Traditional Han script) translation fd1cfe9
User avatar staacks authored 10/14/2026
Weblate repository https://translate-new.phyphox.org/git/phyphox/experiments/
File mask experiments/*.po
Monolingual base language file experiments/en.po
Translation file Download experiments/cs.po
Last change Oct. 14, 2026, 12:15 p.m.
Last change made by Sebastian Staacks
Language Czech
Language code cs
Text direction Left to right
Case sensitivity Case-sensitive
Number of speakers 13,236,057
Number of plurals 3
Plural type One/few/many
Plurals One 1
Few 2, 3, 4
Many 0, 5, 6, 7, 8, 9, 10, 11, 12, 13, …
Plural formula (n==1) ? 0 : (n>=2 && n<=4) ? 1 : 2
10/14/2026

String statistics

Strings percent Hosted strings Words percent Hosted words Characters percent Hosted characters
Total 464 6,337 39,083
Translated 77% 361 58% 3,730 59% 23,285
Needs editing 1% 6 10% 643 10% 3,939
Read-only 0% 0 0% 0 0% 0
Failing checks 1% 3 1% 4 1% 19
Strings with suggestions 0% 0 0% 0 0% 0
Untranslated strings 20% 97 30% 1,964 30% 11,859
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User avatar staacks

Resource updated
The “experiments/en.po” file was changed. 10/14/2026
User avatar staacks

String updated in the repository

Detect small frequency shifts of the Doppler effect.

You need a tone generator that emits a constant frequency (for example 1000Hz from a second phone). Enter this base frequency in the experiment's setup. The experiment will determine the recorded frequency and calculate the relative speed of the sound source.

Detekuje malé Dopplerovské posuny frekvence.

Budete potřebovat tónový generátor produkující konstantní frekvenci (například 1000Hz). Tuto základní frekvenci zadejte do nastavení experimentu. Dále nastavte detekční rozsah, do nějž očekáváte, že se vejde frekvenční posun (například 10Hz). Experiment určí zaznamenanou frekvenci a vypočítá z ní relativní rychlost zdroje zvuku.
doppler.phyphox_description
10/14/2026
User avatar staacks

Source string changed

Detect small frequency shifts of the Doppler effect.

You need a tone generator that emits a constant frequency (for example 1000Hz from a second phone). Enter this base frequency in the experiment's setup and select a detection range in which you expect the Doppler shifted frequency (for example 10Hz). The experiment will determine the recorded frequency and calculate the relative speed of the sound source.
doppler.phyphox_description
10/14/2026
User avatar staacks

String updated in the repository

Measures distances through echoes and the speed of sound.

A sonar sends out sound, which gets reflected by the object you want to measure. As sound travels at a speed of approximately 340 m/s, the time until the reflection reaches the microphone of your phone can be used to calculate the distance of this object.

This experiment continuously plays a short "chirp", a sound sweeping from 2 kHz to 10 kHz, repeated about 23 times per second, and records at the same time. A crosscorrelation of the chirp and the recorded data gives information about the timing at which echoes occur. Several chirps are averaged for each result. The strongest signal is the sound traveling directly from the speaker to the microphone and all echoes are timed relative to it. This timing can then be multiplied with the speed of sound (and divided by 2 as the sound has to travel forth and back) and you get the distance at which the echo originated.

However, sound usually travels in every direction. For a sonar this means, that when targeting a wall, you also get reflections from the floor, the ceiling, another wall nearby, a post and simply from every suitable "hard" surface nearby. Therefore this sonar gives you all the reflections and it is up to you to interpret the result and to figure out, which reflection corresponds to the target you intended to measure. So start with a small hard target and try to screen all other directions with some foam material. Also, this needs a quiet environment.

Měří vzdálenosti pomocí ozvěn a rychlosti zvuku.

Sonar vysílá krátký zvukový signál, který se mimojiné odráží předmětu, jehož vzdálenost chcete měřit. Vzhledem k tomu, že se zvuk šíří přibližně rychlostí 340 m/s, tak je výpočet vzdálenosti možný z celkového času, který zvuku trvalo dorazit k předmětu a zpátky.

Tento experiment vygeneruje "cvrkot", vyšle ho z reproduktoru a zahájí záznam zvuku. Křížová korelace "cvrkotu" a zaznamenaného zvuku podává informaci o času v němž nastane ozvěna. Doba zpoždění ozvěny vynásobená rychlostí zvuku (a vydělená dvěma, neboť zvuk musel letět tam a zpět) dá vzdálenost ze které ozvěna přišla.

Nicméně, zvuk se většinou šiří všemi směry. To pro sonar znamená jistou komplikaci, neboť například při snaze o změření vzdálenosti stěny dostanete navíc ozvěnu od stropu, podlahy, dalších stěn a vlastně od všech vhodně tvrdých předmětů v okolí. Sonar vám dá informace o všech těchto odrazech a je jen na vás, abyste tyto výsledky interpretovali a vyhodnotili, které odpovídají měřenému předmětu. Doporučujeme pokrytí nežádoucích povrchů měkkým pěnovým materiály a měřit menší tvrdý předmět. Je také zapotřebí, aby okolí bylo tiché.
sonar.phyphox_description
10/14/2026
User avatar staacks

Source string changed

Measures distances through echoes and the speed of sound.

A sonar sends bursts of shorout sounds, which gets reflected by the object you want to measure. As sound travels at a speed of approximately 340 m/s, the time until the reflection reaches the microphone of your phone can be used to calculate the distance of this object.

This experiments generates a "chirp", sends it out through the speaker and starts a recording. A crosscorrelation of the chirp and the recorded data gives information about the timing at which echoes occur continuously plays a short "chirp", a sound sweeping from 2 kHz to 10 kHz, repeated about 23 times per second, and records at the same time. A crosscorrelation of the chirp and the recorded data gives information about the timing at which echoes occur. Several chirps are averaged for each result. The strongest signal is the sound traveling directly from the speaker to the microphone and all echoes are timed relative to it. This timing can then be multiplied with the speed of sound (and divided by 2 as the sound has to travel forth and back) and you get the distance at which the echo originated.

However, sound usually travels in every direction. For a sonar this means, that when targeting a wall, you also get reflections from the floor, the ceiling, another wall nearby, a post and simply from every suitable "hard" surface nearby. Therefore this sonar gives you all the reflections and it is up to you to interpret the result and to figure out, which reflection corresponds to the target you intended to measure. So start with a small hard target and try to screen all other directions with some foam material. Also, this needs a quiet environment.
sonar.phyphox_description
10/14/2026
User avatar staacks

Changes committed
Changes committed 10/14/2026
User avatar staacks

Resource updated
The “experiments/cs.po” file was changed. 10/14/2026
User avatar staacks

String added in the repository
Enter the frequency of your tone generator as base frequency. A shorter time step gives more values per second, a longer one gives more precise values. Values are only shown while the tone is clearly recognizable and stays within a few hundred hertz of the base frequency.
 
Enter the frequency of your tone generator as base frequency. A shorter time step gives more values per second, a longer one gives more precise values. Values are only shown while the tone is clearly recognizable and stays within a few hundred hertz of the base frequency.
10/14/2026
User avatar staacks

String added in the repository
Using a known light source, you can tap the graph, select the calibrate mode at the bottom and pick peaks to match them with known wavelengths. You can then see the calibrated spectrum on tab 3.
 
Using a known light source, you can tap the graph, select the calibrate mode at the bottom and pick peaks to match them with known wavelengths. You can then see the calibrated spectrum on tab 3.
10/14/2026
User avatar staacks

String added in the repository
The raw data from the camera is converted to RGB and the individual RGB channels are linearized assuming the gamma curve of sRGB, and then converted to luma. The relative luminance is the luma value normalized to the camera settings such that a pure white image yields a relative luminance of 1 if the camera is set to an exposure time of 1/60s, an ISO of 100 and an aperture of f/1 (Note that this still does not allow for comparison across different models.).
 
The raw data from the camera is converted to RGB and the individual RGB channels are linearized assuming the gamma curve of sRGB, and then converted to luma. The relative luminance is the luma value normalized to the camera settings such that a pure white image yields a relative luminance of 1 if the camera is set to an exposure time of 1/60s, an ISO of 100 and an aperture of f/1 (Note that this still does not allow for comparison across different models.).
10/14/2026
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