[{"data":1,"prerenderedAt":432},["ShallowReactive",2],{"footer-primary":3,"footer-secondary":93,"footer-description":119,"ai-ai-text-extraction":121,"ai-ai-text-extraction-next":166,"sales-reps":180},{"items":4},[5,29,49,69],{"id":6,"title":7,"url":8,"page":8,"children":9},"522e608a-77b0-4333-820d-d4f44be2ade1","Solutions",null,[10,15,20,25],{"id":11,"title":12,"url":8,"page":13},"fcafe85a-a798-4710-9e7a-776fe413aae5","Headless CMS",{"permalink":14},"/solutions/headless-cms",{"id":16,"title":17,"url":8,"page":18},"79972923-93cf-4777-9e32-5c9b0315fc10","Backend-as-a-Service",{"permalink":19},"/solutions/backend-as-a-service",{"id":21,"title":22,"url":8,"page":23},"0fa8d0c1-7b64-4f6f-939d-d7fdb99fc407","Product Information",{"permalink":24},"/solutions/product-information-management",{"id":26,"title":27,"url":28,"page":8},"63946d54-6052-4780-8ff4-91f5a9931dcc","100+ Things to Build","https://directus.io/blog/100-tools-apps-and-platforms-you-can-build-with-directus",{"id":30,"title":31,"url":8,"page":8,"children":32},"8ab4f9b1-f3e2-44d6-919b-011d91fe072f","Resources",[33,37,41,45],{"id":34,"title":35,"url":36,"page":8},"f951fb84-8777-4b84-9e91-996fe9d25483","Documentation","https://docs.directus.io",{"id":38,"title":39,"url":40,"page":8},"366febc7-a538-4c08-a326-e6204957f1e3","Guides","https://docs.directus.io/guides/",{"id":42,"title":43,"url":44,"page":8},"aeb9128e-1c5f-417f-863c-2449416433cd","Community","https://directus.chat",{"id":46,"title":47,"url":48,"page":8},"da1c2ed8-0a77-49b0-a903-49c56cb07de5","Release Notes","https://github.com/directus/directus/releases",{"id":50,"title":51,"url":8,"page":8,"children":52},"d61fae8c-7502-494a-822f-19ecff3d0256","Support",[53,57,61,65],{"id":54,"title":55,"url":56,"page":8},"8c43c781-7ebd-475f-a931-747e293c0a88","Issue Tracker","https://github.com/directus/directus/issues",{"id":58,"title":59,"url":60,"page":8},"d77bb78e-cf7b-4e01-932a-514414ba49d3","Feature Requests","https://github.com/directus/directus/discussions?discussions_q=is:open+sort:top",{"id":62,"title":63,"url":64,"page":8},"4346be2b-2c53-476e-b53b-becacec626a6","Community Chat","https://discord.com/channels/725371605378924594/741317677397704757",{"id":66,"title":67,"url":68,"page":8},"26c115d2-49f7-4edc-935e-d37d427fb89d","Cloud Dashboard","https://directus.cloud",{"id":70,"title":71,"url":8,"page":8,"children":72},"49141403-4f20-44ac-8453-25ace1265812","Organization",[73,78,84,88],{"id":74,"title":75,"url":76,"page":77},"1f36ea92-8a5e-47c8-914c-9822a8b9538a","About","/about",{"permalink":76},{"id":79,"title":80,"url":81,"page":82},"b84bf525-5471-4b14-a93c-225f6c386005","Careers","#",{"permalink":83},"/careers",{"id":85,"title":86,"url":87,"page":8},"86aabc3a-433d-434b-9efa-ad1d34be0a34","Brand Assets","https://drive.google.com/drive/folders/1lBOTba4RaA5ikqOn8Ewo4RYzD0XcymG9?usp=sharing",{"id":89,"title":90,"url":8,"page":91},"8d2fa1e3-198e-4405-81e1-2ceb858bc237","Contact",{"permalink":92},"/contact",{"items":94},[95,101,107,113],{"id":96,"title":97,"url":8,"page":98,"children":100},"8a1b7bfa-429d-4ffc-a650-2a5fdcf356da","Cloud Policies",{"permalink":99},"/cloud-policies",[],{"id":102,"title":103,"url":81,"page":104,"children":106},"bea848ef-828f-4306-8017-6b00ec5d4a0c","License",{"permalink":105},"/bsl",[],{"id":108,"title":109,"url":81,"page":110,"children":112},"4e914f47-4bee-42b7-b445-3119ee4196ef","Terms",{"permalink":111},"/terms",[],{"id":114,"title":115,"url":81,"page":116,"children":118},"ea69eda6-d317-4981-8421-fcabb1826bfd","Privacy",{"permalink":117},"/privacy",[],{"description":120},"\u003Cp>A composable backend to build your Headless CMS, BaaS, and more. \u003C/p>",{"id":122,"slug":123,"vimeo_id":124,"description":125,"tile":126,"length":127,"resources":8,"people":8,"episode_number":128,"published":129,"title":130,"video_transcript_html":131,"video_transcript_text":132,"content":8,"status":133,"episode_people":134,"recommendations":146,"season":147,"seo":165},"afc8f09e-f82f-473d-8643-14176380ae52","ai-text-extraction","945762700","Extract text from image files within Directus Files with this custom operation, using Clarifai.","4a3c8606-c4d9-41c1-a9e3-5322f3cfc83a",3,8,"2024-05-16","AI Text Extraction","\u003Cp>Speaker 0: The Directus AI text extraction operation will do exactly that. You feed it an image and it will extract text from that image. You can then do whatever you want with it, but in today's example, we're going to save the extracted text to the file description. And we and we're going to do this based on an event hook, a non blocking event hook whenever a file is uploaded. Now we're gonna not set up any extra configuration, but in the real, you would probably want a condition that, says this has to be an image file.\u003C/p>\u003Cp>Right now, it will trigger on every file, and the documentation of this extension will show you how to do that. So then we are gonna just go straight away and we are going to use the AI text extraction operation. And you have to provide your Clarify access token, which I made earlier, and provide a direct file URL. So your full director's project URL slash assets and then slash trigger dot key. So that is the file ID that has just been uploaded that has triggered this whole flow to actually begin.\u003C/p>\u003Cp>And this will return a couple of things, it will return the overall text, but it will also return different bounding boxes, so you can say, hey, only give me the text maybe in the top left or stuff like that, but we're gonna just take that overall summary, and we're gonna save it back to the image. So we are going to update the Directus files core collection, and we are going to update specifically the item whose upload started this whole thing, and we are going to set the description to last dot text, so that is the value from this is a is an object, text is a property within it, and that is the entire setup of the AI text extraction operation. Very nifty. So let's, try this out. Let's go to our file library here and let's upload a new file.\u003C/p>\u003Cp>Just moments later we can go in and we can see right here the description has been filled in. Now probably a very fair point the AI is not perfect and you'll see here finance manager. The f is missing, but it's not done a bad job. Perhaps in your real workflows, you'll want a a step of human intervention. This will still save loads of time for stuff like business cards, for written documents, for receipts and invoices, but do always make sure that you're checking the output is exactly what you need it to be.\u003C/p>\u003Cp>But that is the, the rundown of how the AI text extraction operation works. Hope you found this interesting, and I'll see you in the next video.\u003C/p>","The Directus AI text extraction operation will do exactly that. You feed it an image and it will extract text from that image. You can then do whatever you want with it, but in today's example, we're going to save the extracted text to the file description. And we and we're going to do this based on an event hook, a non blocking event hook whenever a file is uploaded. Now we're gonna not set up any extra configuration, but in the real, you would probably want a condition that, says this has to be an image file. Right now, it will trigger on every file, and the documentation of this extension will show you how to do that. So then we are gonna just go straight away and we are going to use the AI text extraction operation. And you have to provide your Clarify access token, which I made earlier, and provide a direct file URL. So your full director's project URL slash assets and then slash trigger dot key. So that is the file ID that has just been uploaded that has triggered this whole flow to actually begin. And this will return a couple of things, it will return the overall text, but it will also return different bounding boxes, so you can say, hey, only give me the text maybe in the top left or stuff like that, but we're gonna just take that overall summary, and we're gonna save it back to the image. So we are going to update the Directus files core collection, and we are going to update specifically the item whose upload started this whole thing, and we are going to set the description to last dot text, so that is the value from this is a is an object, text is a property within it, and that is the entire setup of the AI text extraction operation. Very nifty. So let's, try this out. Let's go to our file library here and let's upload a new file. Just moments later we can go in and we can see right here the description has been filled in. Now probably a very fair point the AI is not perfect and you'll see here finance manager. The f is missing, but it's not done a bad job. Perhaps in your real workflows, you'll want a a step of human intervention. This will still save loads of time for stuff like business cards, for written documents, for receipts and invoices, but do always make sure that you're checking the output is exactly what you need it to be. But that is the, the rundown of how the AI text extraction operation works. Hope you found this interesting, and I'll see you in the next video.","published",[135],{"people_id":136},{"id":137,"first_name":138,"last_name":139,"avatar":140,"bio":141,"links":142},"82b3f7e5-637b-4890-93b2-378b497d5dc6","Kevin","Lewis","a662f91b-1ee9-4277-8c9d-3ac1878e44ad","Director of Developer Experience at Directus",[143],{"url":144,"service":145},"https://directus.io/team/kevin-lewis","website",[],{"id":148,"number":149,"year":150,"episodes":151,"show":162},"25c1b8ec-a696-4551-8d13-4e2abfbc7cb5",1,"2024",[152,153,154,155,156,157,158,122,159,160,161],"6aee5cdc-3d0a-4fa6-acee-49c1860a553d","50b4447b-73c7-4b49-9e70-d210595d1a7e","42784fad-29d4-4f01-a076-43f1817655b7","d948815e-2417-4319-814b-87d7c5fbdd43","2d94463a-5c39-4274-ba39-287e9059cc9c","afb17dd7-48b9-4297-ada8-f22c1daa82ce","be92a983-6a6a-411f-8f07-2cba4aa9308c","3d978332-855b-4eb0-a878-b932e0f9d704","40e14c84-7b60-4fc2-a125-beec15e39a28","be07b8cd-0d0f-4713-affe-88c210c29d9a",{"title":163,"tile":164},"Directus AI","b3609dd7-2fea-4925-ae4a-8a4a69a1b64b",{"title":8,"meta_description":8},{"id":159,"slug":167,"season":148,"vimeo_id":168,"description":169,"tile":170,"length":171,"resources":8,"people":8,"episode_number":172,"published":129,"title":173,"video_transcript_html":174,"video_transcript_text":175,"content":8,"seo":176,"status":133,"episode_people":177,"recommendations":179},"ai-text-intelligence","945762911","Analyze text intents, sentiment, topics, and generate a summary within with this custom operation, powered by Deepgram.","e9291721-20ad-4a6f-a6ea-e5158d7baf79",4,9,"AI Text Intelligence","\u003Cp>Speaker 0: The Directus AI text intelligence operation allows you to analyze bodies of text and generate summaries, topics, intents, and sentiments powered by Deepgram. Today, I'm gonna show you how to set it up using a manual flow trigger. Inside of this episode's collection, we have items representing podcast episodes with a transcript of every word that is said inside of this podcast. What we're gonna do is set up a manual flow. So when we click a button here, it will generate a summary using the text intelligence operation.\u003C/p>\u003Cp>And, of course, we're gonna do it manually, but you could do this automatically on the creation of a new podcast or a new transcript, but we're gonna do it manually. So let's head over to our flows and create a new flow called summarise. We're gonna do this based on a manual trigger on the operations collection. Now whenever this runs, all we get is the ID of the item where the button was pressed. We obviously need the summary.\u003C/p>\u003Cp>We need the transcript rather. So the first thing we'll do is we will create a read data operation, and what we'll do is say in the episodes collection, we want to access trigger dot body dot keys 0. So this will return the whole object including the ID, the file ID, the transcript, and the currently empty summary field. So we're then gonna send this off to the AI text intelligence service here. And the first thing you'll need to pop in is a Deepgram API key.\u003C/p>\u003Cp>The second thing you need to put in is actually the text itself. Unfortunately, this will have been returned in the last operation, and it's called transcript. So we can just send that off like so. So this will go off. It will it will return summaries, topics, intents, and sentiments.\u003C/p>\u003Cp>And for topics intents and sentiments, it will kind of break that down for different portions of the text. And for sentiments, you'll also get a kind of average summary, which is really useful if you wanna say, you know, a call into your, you know, call center or a call with a prospect or something like that. What was the general sentiment from beginning to end? So as I said, this is gonna return quite a lot of data. We only care about the summary.\u003C/p>\u003Cp>And what we wanna do is actually save that summary back to the item where we clicked the button. So that was in episodes, and the ID was trigger dot body dot keys 0. And the payload, what we actually wanna update that item with is a summary field. So we wanna update the summary field, and we want the value of that to be last dot summary dot text, like so. So if we hit save, this is actually the whole operation, the whole, sorry, flow.\u003C/p>\u003Cp>So we click the button. We grab the whole item. We send it off to the text intelligence service, and then we save the outcome. Of course, you don't need to save it back to the item. You could simply send an email out or do something else with it, but we're gonna save it back to the item.\u003C/p>\u003Cp>And if all has worked, I should be able to click this summarize button, wait a few seconds. It's being summarized. Topics are being generated. Intents and sentiments, we're grabbing just the summary, and there we go. There's the summary.\u003C/p>\u003Cp>So I'm sure you can see all of the ways this can be applied. It's really flexible. It's really interesting. And, again, it's not just summaries. It's topics.\u003C/p>\u003Cp>It's intents, and it's sentiments. So I hope you found this interesting, and I'll see you in the next show.\u003C/p>","The Directus AI text intelligence operation allows you to analyze bodies of text and generate summaries, topics, intents, and sentiments powered by Deepgram. Today, I'm gonna show you how to set it up using a manual flow trigger. Inside of this episode's collection, we have items representing podcast episodes with a transcript of every word that is said inside of this podcast. What we're gonna do is set up a manual flow. So when we click a button here, it will generate a summary using the text intelligence operation. And, of course, we're gonna do it manually, but you could do this automatically on the creation of a new podcast or a new transcript, but we're gonna do it manually. So let's head over to our flows and create a new flow called summarise. We're gonna do this based on a manual trigger on the operations collection. Now whenever this runs, all we get is the ID of the item where the button was pressed. We obviously need the summary. We need the transcript rather. So the first thing we'll do is we will create a read data operation, and what we'll do is say in the episodes collection, we want to access trigger dot body dot keys 0. So this will return the whole object including the ID, the file ID, the transcript, and the currently empty summary field. So we're then gonna send this off to the AI text intelligence service here. And the first thing you'll need to pop in is a Deepgram API key. The second thing you need to put in is actually the text itself. Unfortunately, this will have been returned in the last operation, and it's called transcript. So we can just send that off like so. So this will go off. It will it will return summaries, topics, intents, and sentiments. And for topics intents and sentiments, it will kind of break that down for different portions of the text. And for sentiments, you'll also get a kind of average summary, which is really useful if you wanna say, you know, a call into your, you know, call center or a call with a prospect or something like that. What was the general sentiment from beginning to end? So as I said, this is gonna return quite a lot of data. We only care about the summary. And what we wanna do is actually save that summary back to the item where we clicked the button. So that was in episodes, and the ID was trigger dot body dot keys 0. And the payload, what we actually wanna update that item with is a summary field. So we wanna update the summary field, and we want the value of that to be last dot summary dot text, like so. So if we hit save, this is actually the whole operation, the whole, sorry, flow. So we click the button. We grab the whole item. We send it off to the text intelligence service, and then we save the outcome. Of course, you don't need to save it back to the item. You could simply send an email out or do something else with it, but we're gonna save it back to the item. And if all has worked, I should be able to click this summarize button, wait a few seconds. It's being summarized. Topics are being generated. Intents and sentiments, we're grabbing just the summary, and there we go. There's the summary. So I'm sure you can see all of the ways this can be applied. It's really flexible. It's really interesting. And, again, it's not just summaries. It's topics. It's intents, and it's sentiments. So I hope you found this interesting, and I'll see you in the next show.","0dccd3bf-652f-448e-b07e-9ea4222535da",[178],"4504ff0d-9ed8-479c-b7e2-d1013cd35547",[],{"reps":181},[182,238],{"name":183,"sdr":8,"link":184,"countries":185,"states":187},"John Daniels","https://meet.directus.io/meetings/john2144/john-contact-form-meeting",[186],"United States",[188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237],"Michigan","Indiana","Ohio","West Virginia","Kentucky","Virginia","Tennessee","North Carolina","South Carolina","Georgia","Florida","Alabama","Mississippi","New York","MI","IN","OH","WV","KY","VA","TN","NC","SC","GA","FL","AL","MS","NY","Connecticut","CT","Delaware","DE","Maine","ME","Maryland","MD","Massachusetts","MA","New Hampshire","NH","New Jersey","NJ","Pennsylvania","PA","Rhode Island","RI","Vermont","VT","Washington DC","DC",{"name":239,"link":240,"countries":241},"Michelle Riber","https://meetings.hubspot.com/mriber",[242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,219,430,431],"Albania","ALB","Algeria","DZA","Andorra","AND","Angola","AGO","Austria","AUT","Belgium","BEL","Benin","BEN","Bosnia and Herzegovina","BIH","Botswana","BWA","Bulgaria","BGR","Burkina Faso","BFA","Burundi","BDI","Cameroon","CMR","Cape Verde","CPV","Central African Republic","CAF","Chad","TCD","Comoros","COM","Côte d'Ivoire","CIV","Croatia","HRV","Czech Republic","CZE","Democratic Republic of Congo","COD","Denmark","DNK","Djibouti","DJI","Egypt","EGY","Equatorial Guinea","GNQ","Eritrea","ERI","Estonia","EST","Eswatini","SWZ","Ethiopia","ETH","Finland","FIN","France","FRA","Gabon","GAB","Gambia","GMB","Ghana","GHA","Greece","GRC","Guinea","GIN","Guinea-Bissau","GNB","Hungary","HUN","Iceland","ISL","Ireland","IRL","Italy","ITA","Kenya","KEN","Latvia","LVA","Lesotho","LSO","Liberia","LBR","Libya","LBY","Liechtenstein","LIE","Lithuania","LTU","Luxembourg","LUX","Madagascar","MDG","Malawi","MWI","Mali","MLI","Malta","MLT","Mauritania","MRT","Mauritius","MUS","Moldova","MDA","Monaco","MCO","Montenegro","MNE","Morocco","MAR","Mozambique","MOZ","Namibia","NAM","Niger","NER","Nigeria","NGA","North Macedonia","MKD","Norway","NOR","Poland","POL","Portugal","PRT","Republic of Congo","COG","Romania","ROU","Rwanda","RWA","San Marino","SMR","São Tomé and Príncipe","STP","Senegal","SEN","Serbia","SRB","Seychelles","SYC","Sierra Leone","SLE","Slovakia","SVK","Slovenia","SVN","Somalia","SOM","South Africa","ZAF","South Sudan","SSD","Spain","ESP","Sudan","SDN","Sweden","SWE","Tanzania","TZA","Togo","TGO","Tunisia","TUN","Uganda","UGA","United Kingdom","GBR","Vatican City","VAT","Zambia","ZMB","Zimbabwe","ZWE","UK","Germany","Netherlands","Switzerland","CH","NL",1773850448874]