LibraTool haqida
Bizning vazifamiz oddiy: barcha uchun ajoyib asboblarni bepul qilish.
Qanday ishlaydi
LibraTool dagi har bir asbob to'liq brauzeringizda ishlaydi. Fayl tashlaganingizda, u o'z qurilmangizda ishlaydigan JavaScript tomonidan ishlanadi — hech narsa serverga yuklanmaydi.
Maxfiylik siyosati
Fayllaringiz brauzerda qayta ishlanadi va yuklanmaydi. Ba'zi vositalar avval dvigatel yoki AI modelini yuklab oladi; jonli nutqni matnga aylantirish brauzeringizning o'z nutq xizmatidan foydalanadi.
- Vositada ishlatadigan fayl va matnlaringiz qurilmangizda qayta ishlanadi va LibraTool'ga yuborilmaydi.
- Ba'zi vositalar birinchi marta ishlatilganda brauzerga dvigatel yoki ochiq sun'iy intellekt modelini yuklab oladi. Sizdan hech narsa qaytarib yuborilmaydi.
- Jonli nutqni matnga aylantirish bundan mustasno: brauzeringiz audioni o'z ishlab chiqaruvchisiga yuboradi (Chrome'da Google, Edge'da Microsoft, Safari'da Apple).
- Tashriflar va vositalardan foydalanishni sanash uchun PostHog analitikasidan foydalanamiz. U brauzeringizning localStorage'ida tasodifiy identifikator saqlaydi va IP manzillarni tashlab yuboradigan qilib sozlangan; u fayllaringizni yoki vositalarga yozganlaringizni hech qachon olmaydi. Cloudflare sahifa tezligini cookie'siz o'lchaydi.
- Xostingimiz Vercel, har qanday veb-xost kabi, sahifa yuklanganda IP manzilingizni ko'radi va uni qisqa muddatli server jurnallarida saqlaydi.
- Hisob kerak emas. Sozlamalaringiz va sevimlilaringiz o'z brauzeringizda qoladi.
Nega bepul?
Sun'iy intellekt bu asboblarni yaratishni deyarli bepul qildi. Biz tejamkorlikni to'g'ridan-to'g'ri sizga o'tkazamiz.
Kirish shart emas. Fayllaringiz hech qachon qurilmangizdan chiqmaydi, shuning uchun ochishingiz mumkin bo'lgan fayl hajmi qurilmangiz xotirasiga bog'liq.
Vositalar brauzeringizda ishlaydi, shuning uchun fayllaringiz yuklanmaydi va ularni qayta ishlaydigan, biz pul to'lashimiz kerak bo'lgan serverlar yo'q.
422
bepul vosita, kirish shart emas
81
tillar qo'llab-quvvatlanadi
Qurilmangizda ishlaydigan ochiq modellar
Ba'zi vositalar ochiq mashinaviy o'rganish modellaridan foydalanadi. Ular serverda emas, brauzeringizda ishlaydi — lekin model faylining o'zi bir marta yuklab olinishi kerak, shuning uchun mana har birining aniq nimaligi, kim yaratgani va hajmi qanchaligi. Siz so'ramaguningizcha hech narsa yuklanmaydi.
- onnx-community/whisper-baseApache-2.0 · 77 MB
- onnx-community/whisper-tinyApache-2.0 · 43 MB
- onnx-community/silero-vadMIT · 2 MB
- opencv/face_detection_yunetMIT · 0 MB
- CoderViking/realesr-general-x4v3-onnxBSD-3-Clause · 5 MB
- nathanfhh/PaddleOCR-ONNXApache-2.0 · 11 MB
- nathanfhh/PaddleOCR-ONNXApache-2.0 · 16 MB
- PaddlePaddle/latin_PP-OCRv5_mobile_rec_onnxApache-2.0 · 8 MB
- PaddlePaddle/cyrillic_PP-OCRv5_mobile_rec_onnxApache-2.0 · 8 MB
- PaddlePaddle/korean_PP-OCRv5_mobile_rec_onnxApache-2.0 · 13 MB
- PaddlePaddle/arabic_PP-OCRv5_mobile_rec_onnxApache-2.0 · 8 MB
- PaddlePaddle/devanagari_PP-OCRv5_mobile_rec_onnxApache-2.0 · 8 MB
- PaddlePaddle/th_PP-OCRv5_mobile_rec_onnxApache-2.0 · 8 MB
- PaddlePaddle/el_PP-OCRv5_mobile_rec_onnxApache-2.0 · 7 MB
- PaddlePaddle/ta_PP-OCRv5_mobile_rec_onnxApache-2.0 · 8 MB
- PaddlePaddle/te_PP-OCRv5_mobile_rec_onnxApache-2.0 · 8 MB
- onnx-community/Kokoro-82M-v1.0-ONNXApache-2.0 · 83 MBJapanese voice "jf_gongitsune" trained on a TNC (テレビ西日本) reading of 「ごんぎつね」 from the koniwa corpus, CC BY 3.0
- rhasspy/piper-voicesCC0-1.0 · 73 MBPiper voice "ukrainian_tts" (lada, mykyta, tetiana) — OHF-Voice voice-datasets, CC0
- rhasspy/piper-voicesCC-BY-4.0 · 61 MBPiper voice "Serena" — trained on "serena-synthetic-it-27h" by committa, CC BY 4.0
- rhasspy/piper-voicesCC-BY-4.0 · 73 MBPiper voice "mls" (German) — trained on Multilingual LibriSpeech (Pratap et al., OpenSLR 94), CC BY 4.0
- rhasspy/piper-voicesCC-BY-4.0 · 73 MBPiper voice "mls" (French) — trained on Multilingual LibriSpeech (Pratap et al., OpenSLR 94), CC BY 4.0
- rhasspy/piper-voicesLicenseRef-public-domain · 27 MBPiper voice "carlfm" — trained on carlfm01/my-speech-datasets (public domain)
- diffusionstudio/piper-wasmGPL-3.0 · 18 MBeSpeak NG (GPL-3.0) + piper-phonemize (MIT), WebAssembly build by diffusionstudio
- danielgatis/rembgApache-2.0 · 44 MBIS-Net "isnet-general-use" by Xuebin Qin et al. (DIS), Apache-2.0; ONNX export by rembg (MIT); int8-quantised by LibraTool
- spotify/basic-pitchApache-2.0 · 0 MBBasic Pitch by Spotify (Bittner et al., ICASSP 2022), Apache-2.0
- Rikorose/DeepFilterNetMIT OR Apache-2.0 · 8 MBDeepFilterNet3 by Hendrik Schröter et al., MIT OR Apache-2.0
- csukuangfj/sherpa-onnx-spleeter-2stemsMIT · 19 MBSpleeter 2-stems by Deezer (Hennequin et al., 2020), MIT; ONNX export by k2-fsa/sherpa-onnx; merged and int8-compacted by LibraTool
- Best-Practice/spleeter-4stems-onnxMIT · 38 MBSpleeter 4-stems by Deezer (Hennequin et al., 2020), MIT; ONNX conversion by Best-Practice (Apache-2.0); merged and int8-compacted by LibraTool
- mediapipe-models/selfie_segmenterApache-2.0 · 0 MBMediaPipe Selfie Segmenter by Google (Tingbo Hou, Siargey Pisarchyk, Karthik Raveendran), Apache-2.0
- mediapipe-models/selfie_multiclass_256x256Apache-2.0 · 16 MBMediaPipe Selfie Multiclass Segmenter by Google (Adel Ahmadyan), Apache-2.0
- musescore/MuseScoreMIT · 23 MBFluidR3Mono GM soundfont: Fluid (R3) © 2000-2002, 2008 Frank Wen; mono conversion © 2014-17 Michael Cowgill; MIT
Vaznlar uchinchi tomon CDN emas, o'z domenimizdan yetkaziladi va har biri aniq nashr etilgan versiyaga bog'langan. Dvigatellar ham ochiq manbali: ONNX Runtime va ffmpeg (ikkalasi ham WebAssembly'ga kompilyatsiya qilingan), pdf.js va RNNoise.
Ochiq-manbali dasturiy ta'minot
LibraTool brauzeringizda ishlaydigan ochiq-manbali dasturiy ta'minot asosida qurilgan, jumladan ffmpeg, eSpeak NG va ONNX Runtime. Har biri o'z litsenziyasini saqlaydi. Xabarnomalar har bir komponentni, uning litsenziyasini va manba kodini qayerdan olishni sanab o'tadi, GPL va LGPL komponentlarining manbasini taqdim etish taklifimizni ham qo'shib.
Uchinchi tomon litsenziyalariTHIRD_PARTY_NOTICES.txtAloqa va Fikr-mulohaza
Fikr-mulohazangiz bormi, xato topdingizmi yoki yangi asbob taklif qilmoqchimisiz? Biz har bir xabarni o'qiymiz va keyingi nima qurish kerakligini hal qilish uchun takliflaringizdan foydalanamiz.
💡Asbob taklif qiling