[{"data":1,"prerenderedAt":353},["ShallowReactive",2],{"project-34770898":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":27,"sentiment":28,"stance_mix":29,"scored_comments":33,"aspects":34,"strip":42,"post_text":43,"what":44,"said":70,"maker_in_thread":139,"shape":149,"grid":154,"attempts":316,"same_week":317,"maker_shows":31,"maker_hidden":345,"reader_version":346,"card":347},"34770898","WAAS","Self-host Whisper As a Service with GUI and queueing","title","Show HN: Self-host Whisper As a Service with GUI and queueing","https:\u002F\u002Fgithub.com\u002Fschibsted\u002FWAAS","github.com","olekenneth",1676271625,2023,267,54,182,3109,6,"legend","ai","speech to text","web_app",[24,25,21,26],"whisper","transcription","self-hosted","mixed",0.063,{"positive":30,"neutral":18,"mixed":31,"critical":32},5,2,3,16,{"performance":35,"privacy":37,"idea":38,"design":40,"docs":41},{"positive":32,"critical":36},0,{"positive":36,"critical":36},{"positive":39,"critical":36},1,{"positive":36,"critical":31},{"positive":36,"critical":39},[32,36,32,36,36,36,36,36,36,36,36,36,36,36,36,36,36,32,36,36,32,32,30,36,30,36,32,30,36,30,36,32,39,36,36,30,36,39,36,39],"Schibsted created a transcription service for our journalists to transcribe audio interviews and podcasts really quick.",{"problem":45,"audience":51,"pricing":55,"motivation":56,"time_to_build":55,"stack":60,"openness":67,"stage":68,"team_size":69},{"value":46,"source":47,"evidence":48},"Transcribing audio interviews and podcasts quickly","maker",[49],{"id":50},"post",{"value":52,"source":47,"evidence":53},"Journalists at Schibsted",[54],{"id":50},null,{"value":57,"source":47,"evidence":58},"Fast transcription for journalists at Schibsted",[59],{"id":50},[61],{"value":62,"source":47,"evidence":63},"Whisper",[64],{"id":65,"by":11,"text":66},"34771861","Yes. This runs the OpenAI Whisper model locally.","open_source","unknown","company",{"praise":71,"objections":76,"requests":94,"questions":102,"alternatives":110},[72],{"value":73,"source":47,"evidence":74},"Runs OpenAI Whisper locally with MIT-licensed model",[75],{"id":65,"by":11,"text":66},[77,88],{"value":78,"source":79,"evidence":80},"No GUI yet","commenter",[81,85],{"id":82,"by":83,"text":84},"34774809","MitPitt","There's no GUI though",{"id":86,"by":11,"text":87},"34778079","Working on it. https:\u002F\u002Fgithub.com\u002Fschibsted\u002FWAAS\u002Fpull\u002F101",{"value":89,"source":47,"evidence":90},"README needs work",[91],{"id":92,"by":11,"text":93},"34771866","Thanks for feedback. Looks like the Readme need more work",[95],{"value":96,"source":79,"evidence":97},"Streaming real-time transcription endpoint",[98],{"id":99,"by":100,"text":101},"34773735","magicseth","Is it possible to create a streaming endpoint that returns real-time transcriptions?",[103],{"value":104,"source":79,"evidence":105},"Is it better than YouTube auto transcripts?",[106],{"id":107,"by":108,"text":109},"34772375","sgt","Is the Whisper model better than say Youtube's auto transcribing? I hope it is because the one on YT gets so much wrong it's almost comical.",[111,118,125,132],{"value":112,"source":79,"evidence":113},"whisper.cpp",[114],{"id":115,"by":116,"text":117},"34771981","henry_viii","By the way there is also another project called Whisper.cpp: https:\u002F\u002Fgithub.com\u002Fggerganov\u002Fwhisper.cpp Which uses x8 less memory than the Python implementation for the tiny model.…",{"value":119,"source":79,"evidence":120},"transcribe-anything",[121],{"id":122,"by":123,"text":124},"34771955","silviot","People interested in this might also be interested in transcribe-anything [1]. It automates video fetching and uses whisper to generate .srt, .vtt and .txt files. [1]…",{"value":126,"source":79,"evidence":127},"whisper-ui",[128],{"id":129,"by":130,"text":131},"34772220","raybb","Whisper-UI is also looking really nice lately but I think it's still pretty early in development. The ability to click on the transcript and hear the sound of that particular…",{"value":133,"source":79,"evidence":134},"Vosk",[135],{"id":136,"by":137,"text":138},"34779645","nshm","Vosk https:\u002F\u002Falphacephei.com\u002Fvosk\u002Flm You can restrict the vocabulary the way you like, for example, here is the chess app built with Vosk https:\u002F\u002Fwww.chessvis.com\u002F",{"comments":140,"answered":32,"key":141},8,[142,145,146],{"id":143,"text":144},"34772573","Ok. Our service is pretty fast. Also the M-Macs is really fast imo",{"id":65,"text":66},{"id":147,"text":148},"34772549","This have the same output formats plus it's own Jojo-format to open in an atm internal Mac-app and in the editor-feature-branch.",{"commenters":150,"max_depth":151,"maker_replies":140,"first_comment_mins":152,"lifespan_hours":153},42,7,169,58,[155,159,161,165,169,172,174,176,180,183,185,188,191,195,198,200,203,206,209,211,214,217,220,224,228,229,230,231,233,235,238,241,244,247,248,252,255,259,261,264,266,269,273,276,278,283,286,290,293,295,300,303,305,310,312,314],[156,36,32,157,158,36],"34772292","project\u002Fneutral\u002Fperformance","sebastianvoelkl",[143,36,36,160,11,39],"project\u002Fpositive\u002Fperformance",[162,36,32,163,164,36],"34772664","project\u002Fneutral\u002Fnone","nasir",[166,36,36,167,168,36],"34772794","other\u002Fneutral\u002Fnone","swyx",[170,36,36,167,171,36],"34780815","fragmede",[173,36,36,167,158,36],"34772961",[175,36,36,167,158,36],"34773020",[177,36,36,178,179,36],"34773064","commenter\u002Fneutral\u002Fnone","jotnguyen",[181,36,36,178,182,36],"34773439","tikkun",[184,36,36,178,179,36],"34774684",[186,36,36,167,187,36],"34774268","cjonas",[189,36,36,167,190,36],"34774365","epoch_100",[192,36,36,193,194,36],"34775258","other\u002Fneutral\u002Fdocs","moneywoes",[196,36,36,167,197,36],"34776458","shiv86",[199,36,36,167,194,36],"34775247",[201,36,36,167,202,36],"34774477","jalino23",[204,36,36,167,205,36],"34775561","graderjs",[207,36,36,167,208,36],"34807123","19h",[115,39,36,210,116,36],"other\u002Fneutral\u002Fperformance",[212,39,36,167,213,36],"34772477","sorenjan",[215,39,36,167,216,36],"34772843","Metus",[218,39,36,167,219,36],"34773566","kardianos",[221,39,36,222,223,36],"34780828","other\u002Fcritical\u002Fperformance","garblegarble",[225,31,32,226,227,36],"34771853","project\u002Fneutral\u002Fprivacy","adlpz",[65,31,36,226,11,39],[122,32,36,167,123,36],[147,32,36,163,11,39],[129,232,36,167,130,36],4,[99,30,32,234,100,36],"project\u002Fneutral\u002Fidea",[236,30,32,157,237,36],"34774249","nojs",[239,18,30,160,240,36],"34773342","monkeydust",[242,151,36,167,243,36],"34779450","tsycho",[245,151,36,167,246,36],"34779581","levpopov",[136,151,36,167,137,36],[249,140,30,250,251,36],"34773443","project\u002Fpositive\u002Fidea","elliotpage",[253,140,36,254,11,39],"34778049","maker\u002Fpositive\u002Fnone",[256,257,32,157,258,36],"34777107",9,"jonititan",[107,260,36,210,108,36],10,[262,260,30,160,263,36],"34772442","AB1908",[265,260,36,160,11,39],"34772563",[267,260,30,160,268,36],"34772661","beardedetim",[270,260,32,271,272,36],"34781147","project\u002Fmixed\u002Fperformance","Jach",[274,260,36,178,275,36],"34785964","kamranjon",[277,260,32,271,272,36],"34787565",[279,280,39,281,282,36],"34774551",11,"project\u002Fcritical\u002Fdesign","INTPenis",[284,280,36,285,11,39],"34778025","maker\u002Fneutral\u002Fnone",[287,288,36,167,289,36],"34774146",12,"deskamess",[291,288,36,167,292,36],"34774367","binarymax",[294,288,36,167,289,36],"34776209",[296,297,30,298,299,36],"34774955",13,"project\u002Fpositive\u002Fnone","teucris",[301,297,36,167,302,36],"34785904","phodo",[304,297,36,167,299,36],"34786034",[306,307,39,308,309,36],"34771770",14,"project\u002Fcritical\u002Fdocs","mkl",[92,307,36,311,11,39],"maker\u002Fneutral\u002Fdocs",[82,313,39,281,83,36],15,[86,313,36,315,11,39],"maker\u002Fneutral\u002Fdesign",[],[318,323,328,332,336,341],{"id":319,"name":320,"points":321,"category":322},"34729849","ScreenStab",497,"creative",{"id":324,"name":325,"points":326,"category":327},"34730520","boxxy",384,"dev_tools",{"id":329,"name":330,"points":331,"category":322},"34795155","Peel",353,{"id":333,"name":334,"points":335,"category":327},"34740529","Spaghettify",323,{"id":337,"name":338,"points":339,"category":340},"34780579","Paperlist",287,"learning_science",{"id":342,"name":343,"points":344,"category":20},"34727695","PodText.ai",219,false,"v2",{"id":348,"name":5,"line":6,"ai":345,"cat":20,"year":13,"points":14,"comments":15,"rec":27,"s":349,"top":18,"kw":350,"maker":11,"domain":10,"tier":19,"attempts":36,"strip":351,"url":9,"mix":352,"praise":73,"objection":78,"sub":21},34770898,0.06,[24,25,21,26],"3030000000000000030033505035050310050101",[30,18,31,32],1794036631178]