{"id":24736,"date":"2026-11-11T12:00:08","date_gmt":"2026-11-11T12:00:08","guid":{"rendered":"https:\/\/engineerbabu.com\/blog\/?p=24736"},"modified":"2026-11-11T12:00:08","modified_gmt":"2026-11-11T12:00:08","slug":"voice-ai-in-mobile-apps","status":"publish","type":"post","link":"https:\/\/engineerbabu.com\/blog\/voice-ai-in-mobile-apps\/","title":{"rendered":"Voice AI in Mobile Apps: How to Add Voice Features"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Typing is the slowest thing a user does on a phone. Voice AI in mobile apps removes that bottleneck, and in 2026 the technology is finally accurate and fast enough to trust in production.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The shift is practical, not futuristic. A delivery driver logging a failed drop, a nurse recording vitals between patients, a customer reordering groceries: each finishes faster by speaking than by tapping through four screens.<\/span><\/p>\n<p><b>TL;DR<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Voice AI in mobile apps combines speech recognition, intent understanding, and speech output into a single conversational loop.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The speech recognition market is on a steep growth curve through 2034, pushing voice into mainstream product roadmaps.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Latency decides adoption more than accuracy does. Anything slower than 1.2 seconds feels broken to users.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">EngineerBabu builds voice features into fintech, healthcare, and logistics apps where hands-free input saves measurable operational time.<\/span><\/li>\n<\/ul>\n<h2><b>What is voice AI in mobile apps?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Voice AI in mobile apps is the combination of technologies letting an app listen to speech, understand the intent behind it, act on that intent, and respond. It replaces or supplements tapping, typing, and navigation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Older voice features worked on fixed command grammars. Say an exact phrase, get an exact result, and fail on anything else. Modern voice AI uses large language models to understand loose phrasing, incomplete sentences, and corrections mid-sentence, which is why adoption finally moved past novelty.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The practical definition is simple. If a user can speak naturally and the app does the right thing, you have voice AI. If they must memorize phrases, you have a voice menu.<\/span><\/p>\n<h2><b>How does voice AI in mobile apps actually work?<\/b><\/h2>\n<ul>\n<li aria-level=\"1\">\n<h3><b>Audio capture<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The microphone layer handles permissions, noise suppression, and voice activity detection. It also decides whether the app listens on a button press or on a wake phrase. Push-to-talk is cheaper, more private, and simpler to launch first.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><b>Speech to text<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">A recognition model converts audio into a transcript. Whisper, Deepgram, AssemblyAI, Google, and Apple&#8217;s on-device recognizer all compete here. Streaming models return partial text while the user is still speaking, which cuts perceived wait time sharply.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><b>Intent and reasoning<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">This layer converts &#8220;move four hundred to my savings&#8221; into a structured action with validated parameters. Rule-based matching handles narrow commands. LLM function calling handles real speech, which is why most<\/span><a href=\"https:\/\/engineerbabu.com\/services\/conversational-ai-development\"> <span style=\"font-weight: 400;\">conversational AI development<\/span><\/a><span style=\"font-weight: 400;\"> work now lives at this stage.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><b>Action execution<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The structured intent hits your existing APIs. Nothing special happens here, which is the point. Voice should be an input method feeding the same business logic your buttons already use.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><b>Speech output<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Text-to-speech returns the response. Streaming matters more than voice quality, because users forgive an average voice far more readily than a three-second silence. Custom ranking or classification built through<\/span><a href=\"https:\/\/engineerbabu.com\/technologies\/machine-learning-development-services\"> <span style=\"font-weight: 400;\">machine learning development services<\/span><\/a><span style=\"font-weight: 400;\"> can sit alongside this without touching the audio path.<\/span><\/p>\n<h2><b>The voice AI market in 2026 and beyond<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Spending follows capability. The voice and speech recognition market reached USD 15.2 billion in 2025 and is projected to hit USD 51.5 billion by 2034, growing at 14.10% across 2026 to 2034, according to<\/span><a href=\"https:\/\/www.imarcgroup.com\/global-voice-speech-recognition-market\" target=\"_blank\" rel=\"noopener\"> <span style=\"font-weight: 400;\">IMARC Group<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Three forces are driving that curve. Recognition accuracy now handles accents and background noise reliably. Inference costs dropped enough to run per session without wrecking margins. And users already talk to devices daily, so the behavior needs no education.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Product teams tracking<\/span><a href=\"https:\/\/engineerbabu.com\/blog\/ai-in-mobile-app-development\/\"> <span style=\"font-weight: 400;\">AI in mobile app development<\/span><\/a><span style=\"font-weight: 400;\"> now treat voice as an input channel rather than a standalone feature.<\/span><\/p>\n<h2><b>Benefits of voice AI in mobile apps<\/b><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Faster task completion.<\/b><span style=\"font-weight: 400;\"> Speaking a multi-field request takes seconds. Tapping the same request through forms takes significantly longer, especially on small screens.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Hands-free operation.<\/b><span style=\"font-weight: 400;\"> Drivers, field technicians, warehouse staff, and clinicians work with occupied hands. Voice AI in mobile apps turns dead time into logged data.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Better accessibility.<\/b><span style=\"font-weight: 400;\"> Users with motor impairments, low vision, or limited literacy gain access to features that forms effectively block.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Lower support load.<\/b><span style=\"font-weight: 400;\"> A voice assistant resolving routine account questions cuts ticket volume, similar to the effect described in<\/span><a href=\"https:\/\/engineerbabu.com\/blog\/ways-ai-powered-apps-enhance-user-experience\/\"> <span style=\"font-weight: 400;\">AI powered apps<\/span><\/a><span style=\"font-weight: 400;\"> across support-heavy products.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Richer intent data.<\/b><span style=\"font-weight: 400;\"> How users phrase requests reveals product gaps that click analytics never surface.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Fewer input errors.<\/b><span style=\"font-weight: 400;\"> Spoken entries validated by a model catch mistakes that free-text fields happily accept.<\/span><\/li>\n<\/ul>\n<h2><b>Where voice AI is already being used?<\/b><\/h2>\n<table>\n<tbody>\n<tr>\n<td><b>Industry<\/b><\/td>\n<td><b>Voice use case<\/b><\/td>\n<td><b>Business impact<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Healthcare<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Clinical notes, symptom intake<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Less documentation time per patient<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Fintech<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Balance checks, transfers, fraud reports<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Fewer support calls, faster actions<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Logistics<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Delivery status, route updates<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Hands-free driver reporting<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Retail<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Voice search, reorder, order tracking<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Higher repeat purchase frequency<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Automotive<\/span><\/td>\n<td><span style=\"font-weight: 400;\">In-car controls and navigation<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Safer, distraction-free interaction<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Education<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Pronunciation practice, voice tutoring<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Stronger learner engagement<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><b>How to add voice AI in mobile apps, step by step<\/b><\/h2>\n<h3><b>Step 1: Pick three commands, not thirty<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Open-ended assistants fail because users never learn the boundaries. Start with the three actions people repeat most and already find tedious to tap through.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Check analytics for flows with the highest frequency and deepest screen counts. Those are your candidates. Write the ten most likely phrasings for each command, including messy ones with filler words and false starts. That list becomes your test set and your prompt input. Three commands that work reliably beat twenty that half-work.<\/span><\/p>\n<h3><b>Step 2: Choose your recognition path<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Decide between on-device and cloud recognition before writing integration code, because that choice affects latency, cost, and your privacy policy simultaneously.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">On-device works offline, keeps audio local, and carries no per-request cost, but handles accents and domain vocabulary less reliably. Cloud models deliver stronger accuracy, streaming transcripts, and custom vocabulary support.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Many production apps run a hybrid, using on-device for short commands and cloud for longer requests. Test both against recordings from your actual users before signing a vendor contract.<\/span><\/p>\n<h3><b>Step 3: Build the intent layer with structured outputs<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Never let a raw transcript trigger an action directly. Route it through a model that returns structured data with explicit fields, then validate that structure before anything executes.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Define a schema for each command with required parameters and acceptable ranges. If an amount exceeds a threshold or a recipient is missing, the app asks a clarifying question rather than guessing. This is standard in<\/span><a href=\"https:\/\/engineerbabu.com\/services\/ai-integration\"> <span style=\"font-weight: 400;\">AI integration services<\/span><\/a><span style=\"font-weight: 400;\"> work and the main safeguard against voice doing something expensive by accident. Log every mismatch for tuning.<\/span><\/p>\n<h3><b>Step 4: Engineer for latency before accuracy<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Users judge voice on speed first. Target under 1.2 seconds from end of speech to first audio response, measured on mid-range Android devices rather than flagship phones.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Stream everything. Send audio while the user speaks, run inference on partial transcripts, and begin playback at the first sentence of the reply. Cache common responses locally and show live transcription so users see progress instead of silence.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Teams using<\/span><a href=\"https:\/\/engineerbabu.com\/technologies\/generative-ai-development-services\"> <span style=\"font-weight: 400;\">generative AI development services<\/span><\/a><span style=\"font-weight: 400;\"> often find prompt length, not model selection, is the largest latency lever available.<\/span><\/p>\n<h3><b>Step 5: Design the failure path deliberately<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Voice will misfire. Background noise, cross-talk, and unfamiliar names guarantee it, so recovery deserves as much design attention as the successful path.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Always display the transcript so users can see what the app heard. Offer one-tap correction and a visible fallback to the standard interface. For irreversible actions like payments or deletions, require a tap confirmation rather than a spoken yes. Track how often users abandon voice mid-flow, because that number reveals product fit better than accuracy scores do.<\/span><\/p>\n<h3><b>Step 6: Instrument, then expand<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Ship narrow, measure hard, and expand only where the data supports it. Track task completion rate, average latency, fallback rate, and repeat usage per user.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Completion rate matters most. An assistant with 95% transcription accuracy and 60% completion is failing at the intent layer, not the audio layer. Review failed transcripts weekly for the first two months, since real phrasing always differs from what the team predicted. Add the fourth and fifth commands only after the first three clear your benchmarks.<\/span><\/p>\n<h2><b>On-device vs cloud voice AI<\/b><\/h2>\n<table>\n<tbody>\n<tr>\n<td><b>Factor<\/b><\/td>\n<td><b>On-device<\/b><\/td>\n<td><b>Cloud<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Latency<\/span><\/td>\n<td><span style=\"font-weight: 400;\">200 to 400ms<\/span><\/td>\n<td><span style=\"font-weight: 400;\">500ms to 1.5s<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Accent accuracy<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Moderate<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Strong<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Offline support<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Yes<\/span><\/td>\n<td><span style=\"font-weight: 400;\">No<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Per-use cost<\/span><\/td>\n<td><span style=\"font-weight: 400;\">None<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Per minute or token<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Privacy posture<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Audio stays on device<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Needs processing agreements<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Custom vocabulary<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Limited<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Fully supported<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Model updates<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Tied to app releases<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Instant, server side<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">Regulated products usually keep capture on-device and send only sanitized text onward. Consumer products usually start in the cloud and optimize later. Specialized builds such as<\/span><a href=\"https:\/\/engineerbabu.com\/ai-voice-agent-development-services-usa\"> <span style=\"font-weight: 400;\">AI voice agent development<\/span><\/a><span style=\"font-weight: 400;\"> often combine both within a single session.<\/span><\/p>\n<h2><b>What voice AI in mobile apps costs to run<\/b><\/h2>\n<table>\n<tbody>\n<tr>\n<td><b>Component<\/b><\/td>\n<td><b>Typical range<\/b><\/td>\n<td><b>Notes<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Speech to text<\/span><\/td>\n<td><span style=\"font-weight: 400;\">USD 0.004 to 0.015 per minute<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Varies by provider tier<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">LLM intent processing<\/span><\/td>\n<td><span style=\"font-weight: 400;\">USD 0.001 to 0.01 per request<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Driven by prompt length<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Text to speech<\/span><\/td>\n<td><span style=\"font-weight: 400;\">USD 10 to 30 per million characters<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Premium voices cost more<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Typical 30-second session<\/span><\/td>\n<td><span style=\"font-weight: 400;\">USD 0.02 to 0.06<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Combined API cost<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">That is manageable at 10,000 sessions monthly and painful at a million, so model unit economics before launch. The pattern mirrors<\/span><a href=\"https:\/\/engineerbabu.com\/blog\/ai-chatbot-app-development-cost-in-the-usa\/\"> <span style=\"font-weight: 400;\">AI chatbot development cost<\/span><\/a><span style=\"font-weight: 400;\"> with audio processing layered on top.<\/span><\/p>\n<h2><b>Privacy, consent, and compliance<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Voice data sits close to biometric data, and regulators treat it accordingly. Illinois BIPA, GDPR, and sector-specific rules all apply depending on who your users are.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Collect explicit consent before the first recording, state retention periods plainly, and make deletion genuinely work. Never retain raw audio by default.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In healthcare builds, your speech vendor needs a signed BAA, the same discipline required for<\/span><a href=\"https:\/\/engineerbabu.com\/blog\/how-to-build-a-hipaa-compliant-app\/\"> <span style=\"font-weight: 400;\">HIPAA compliant app development<\/span><\/a><span style=\"font-weight: 400;\"> across any sensitive data type.<\/span><\/p>\n<h2><b>The future of voice AI in mobile apps<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Three shifts are already visible. On-device models are getting good enough to handle full conversations without a network, which solves privacy and latency together.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Voice is also merging with agentic behavior. Instead of answering a question, the assistant completes a multi-step task across several APIs, closer to patterns seen in<\/span><a href=\"https:\/\/engineerbabu.com\/blog\/ai-chatbot-development\/\"> <span style=\"font-weight: 400;\">AI chatbot development<\/span><\/a><span style=\"font-weight: 400;\"> work today.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The third shift is emotional and contextual awareness. Models now detect frustration, urgency, and hesitation in tone, letting apps escalate to a human before a user gives up. Expect voice AI in mobile apps to become an expected input option rather than a differentiator by 2028.<\/span><\/p>\n<h2><b>Add voice AI to your app with EngineerBabu<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">EngineerBabu builds voice features into production apps across fintech, healthcare, and logistics, where hands-free input saves measurable operational time rather than adding novelty.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The team&#8217;s<\/span><a href=\"https:\/\/engineerbabu.com\/services\/ai-development\"> <span style=\"font-weight: 400;\">AI development services<\/span><\/a><span style=\"font-weight: 400;\"> cover speech vendor evaluation, intent design, latency engineering, consent flows, and compliance review, delivered through a CMMI Level 5 process with senior engineers staying on the build.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Teams extending an existing product can also<\/span><a href=\"https:\/\/engineerbabu.com\/hire\/ai-developers\"> <span style=\"font-weight: 400;\">hire AI developers<\/span><\/a><span style=\"font-weight: 400;\"> experienced in latency-sensitive audio work, not just text-based chat interfaces.<\/span><\/p>\n<h2><b>FAQs<\/b><\/h2>\n<ul>\n<li aria-level=\"1\">\n<h3><b>Can voice AI work in noisy environments like warehouses?<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Yes, with noise suppression and push-to-talk capture. Accuracy drops in sustained loud noise, so test with real recordings from the actual environment before committing.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><b>How long does it take to build a voice feature?<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">A focused set of three to five commands typically takes six to ten weeks, covering vendor evaluation, intent design, noisy-condition testing, and consent flow implementation.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><b>Does voice AI support Indian and regional languages?<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Major providers cover Hindi and several Indian languages, though accuracy varies by dialect. Code-mixed speech remains challenging and needs testing against your own user recordings.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><b>Is voice AI safe for banking and payment apps?<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">With safeguards, yes. Require tap confirmation for money movement, apply confidence thresholds, and never execute transactions on transcript text without structured validation first.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><b>Do users actually prefer voice over typing?<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">In hands-busy and repetitive-task contexts, strongly yes. For browsing, comparison, and private settings, users consistently prefer touch, so voice should complement rather than replace it.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Typing is the slowest thing a user does on a phone. Voice AI in mobile apps removes that bottleneck, and in 2026 the technology is finally accurate and fast enough to trust in production. The shift is practical, not futuristic. A delivery driver logging a failed drop, a nurse recording vitals between patients, a customer [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":24738,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1273,1271],"tags":[],"class_list":["post-24736","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-software-development"],"_links":{"self":[{"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/posts\/24736","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/comments?post=24736"}],"version-history":[{"count":2,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/posts\/24736\/revisions"}],"predecessor-version":[{"id":24739,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/posts\/24736\/revisions\/24739"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/media\/24738"}],"wp:attachment":[{"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/media?parent=24736"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/categories?post=24736"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/tags?post=24736"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}