Game da LibraTool
Manufarmu tana da sauƙi: sanya kayan aiki masu kyau kyauta ga kowa.
Yadda Yake Aiki
Kowace kayan aiki a LibraTool yana gudana cikakke a cikin burauzar ka. Lokacin da ka jefa fayil, JavaScript da ke gudana a na'urar ka ne ke sarrafa shi — ba a taba aika komai zuwa uwar garke ba.
Manufar Sirri
Ana sarrafa fayilolinka a burauzarka kuma ba a loda su. Wasu kayan aiki suna fara sauke injin ko samfurin AI; maganar-zuwa-rubutu kai tsaye tana amfani da sabis ɗin murya na burauzarka.
- Fayiloli da rubutun da kake amfani da su a kayan aiki ana sarrafa su a na'urarka kuma ba a aika su zuwa LibraTool ba.
- Wasu kayan aiki suna sauke injin ko buɗaɗɗen samfurin AI zuwa burauzarka a karon farko da ka yi amfani da su. Ba a mayar da komai naka ba.
- Maganar-zuwa-rubutu kai tsaye ita ce banda: burauzarka yana aika sautin ga kamfanin da ya ƙera shi (Google a Chrome, Microsoft a Edge, Apple a Safari).
- Muna amfani da nazarin PostHog don ƙirga ziyara da amfani da kayan aiki. Yana adana ID na bazuwar a localStorage na burauzarka kuma an saita shi ya watsar da adireshin IP; ba ya taɓa karɓar fayilolinka ko abin da ka rubuta a kayan aiki. Cloudflare yana auna saurin shafi ba tare da kukis ba.
- Mai ɗaukar nauyin mu, Vercel, yana ganin adireshin IP naka lokacin da shafi ya loda, kamar kowane mai ɗaukar gidan yanar gizo, kuma yana adana shi a cikin rajistar sabar na ɗan lokaci kaɗan.
- Ba a buƙatar asusu. Saitunanka da waɗanda ka fi so suna zama a cikin burauzarka.
Me yasa kyauta ne?
AI ya sa gina waɗannan kayan aikin ya zama kusan kyauta. Muna ba ku wannan tanadin kai tsaye.
Babu shiga asusu. Fayilolinku ba sa fita daga na'urarku, don haka girman fayil ɗin da za ku iya buɗewa ya danganta ne da ƙwaƙwalwar ajiyar na'urarku.
Kayan aikin suna aiki a cikin burauzarka, don haka ba a loda fayilolinka kuma babu sabar da ke sarrafa su da za mu biya.
422
kayan aiki kyauta, babu buƙatar shiga
81
harsuna da ake goyan baya
Samfuran buɗaɗɗu da muke gudanarwa a na'urarku
Wasu kayan aiki suna amfani da samfuran koyon-inji buɗaɗɗu. Suna gudana a mai bincikenku, ba akan sabar ba — amma dole ne a sauke fayil ɗin samfurin da kansa sau ɗaya, don haka ga ainihin abin da kowanne yake, wanda ya yi shi da girmansa. Babu abin da ke saukewa har sai kun buƙata.
- 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
Ana bayar da nauyi daga yankinmu maimakon CDN na wata jam'iyya, kuma kowanne an ɗaure shi ga ainihin sigar da aka buga. Injinan ma buɗaɗɗu ne: ONNX Runtime da ffmpeg (dukansu an tara su zuwa WebAssembly), pdf.js, da RNNoise.
Software buɗaɗɗen tushe
An gina LibraTool a kan software buɗaɗɗen tushe wanda yake gudana a burauzarka, ciki har da ffmpeg, eSpeak NG da ONNX Runtime. Kowanne yana da lasisinsa. Bayanan sun lissafa kowace sashi, lasisinsa da inda za a samu lambar tushensa, ciki har da bayarwarmu na samar da tushen sassan GPL da LGPL.
Lasisin bangare na ukuTHIRD_PARTY_NOTICES.txtTuntuɓi da Ra'ayi
Kuna da ra'ayi, kun sami kuskure, ko kuna son ba da shawarar sabon kayan aiki? Muna karanta kowane saƙo kuma muna amfani da shawarwarinku don yanke shawara kan abin da za mu gina gaba.
💡Ba da shawarar kayan aiki